�ݺ�ߣshows by User: streamanalytix

�ݺ�ߣshows by User: streamanalytix / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: streamanalytix / Mon, 21 Sep 2020 09:53:12 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: streamanalytix The fastest way to convert etl analytics and data warehouse to AWS- Impetus Webinar /slideshow/the-fastest-way-to-convert-etl-analytics-and-data-warehouse-to-aws-impetus-webinar-238571765/238571765 thefastestwaytoconvertetlanalyticsanddatawarehousetoaws-200921095312
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions. As an AWS Advanced Consulting Partner, Impetus offers an ML-based automated solution for data warehouse, ETL, and analytics workload transformation to AWS. You can convert almost all legacy sources to an AWS-native technology stack (Redshift-EMR, Glue, Lambda, etc.) 4x faster than hand-coding. Join us as we share our experience in delivering continued value to Fortune 1000 companies. The webinar will detail the following: Critical considerations for moving to AWS A strategy for transforming workloads to AWS Nuances of workload conversion to AWS A demo of the fastest way to convert ETL, analytics, and data warehouse to AWS To learn more - https://bit.ly/2RHJeac]]>
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions. As an AWS Advanced Consulting Partner, Impetus offers an ML-based automated solution for data warehouse, ETL, and analytics workload transformation to AWS. You can convert almost all legacy sources to an AWS-native technology stack (Redshift-EMR, Glue, Lambda, etc.) 4x faster than hand-coding. Join us as we share our experience in delivering continued value to Fortune 1000 companies. The webinar will detail the following: Critical considerations for moving to AWS A strategy for transforming workloads to AWS Nuances of workload conversion to AWS A demo of the fastest way to convert ETL, analytics, and data warehouse to AWS To learn more - https://bit.ly/2RHJeac]]> Mon, 21 Sep 2020 09:53:12 GMT /slideshow/the-fastest-way-to-convert-etl-analytics-and-data-warehouse-to-aws-impetus-webinar-238571765/238571765 streamanalytix@slideshare.net(streamanalytix) The fastest way to convert etl analytics and data warehouse to AWS- Impetus Webinar streamanalytix Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions. As an AWS Advanced Consulting Partner, Impetus offers an ML-based automated solution for data warehouse, ETL, and analytics workload transformation to AWS. You can convert almost all legacy sources to an AWS-native technology stack (Redshift-EMR, Glue, Lambda, etc.) 4x faster than hand-coding. Join us as we share our experience in delivering continued value to Fortune 1000 companies. The webinar will detail the following: Critical considerations for moving to AWS A strategy for transforming workloads to AWS Nuances of workload conversion to AWS A demo of the fastest way to convert ETL, analytics, and data warehouse to AWS To learn more - https://bit.ly/2RHJeac <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thefastestwaytoconvertetlanalyticsanddatawarehousetoaws-200921095312-thumbnail.jpg?width=120&height=120&fit=bounds" /> Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions. As an AWS Advanced Consulting Partner, Impetus offers an ML-based automated solution for data warehouse, ETL, and analytics workload transformation to AWS. You can convert almost all legacy sources to an AWS-native technology stack (Redshift-EMR, Glue, Lambda, etc.) 4x faster than hand-coding. Join us as we share our experience in delivering continued value to Fortune 1000 companies. The webinar will detail the following: Critical considerations for moving to AWS A strategy for transforming workloads to AWS Nuances of workload conversion to AWS A demo of the fastest way to convert ETL, analytics, and data warehouse to AWS To learn more - https://bit.ly/2RHJeac

The fastest way to convert etl analytics and data warehouse to AWS- Impetus Webinar from Impetus Technologies

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0 Eliminate cyber-security threats using data analytics – Build a resilient enterprise during COVID-19 /slideshow/eliminate-cybersecurity-threats-using-data-analytics-build-a-resilient-enterprise-during-covid19/238571187 eliminatecybersecuritythreatsusingdataanalytics-200921083858
The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyber attacks and malicious online activities. To ensure business continuity and mitigate risks, enterprises need to detect and respond to security threats in real-time. While the “new normal” presents several security challenges, it also offers enterprises a unique opportunity to enforce and bolster 360-degree security measures. Join our upcoming webinar to discover how advanced data analytics can help you detect and address: Fraudulent transactions Cyber attacks Data thefts Asset and data security To learn more about the webinar - view https://bit.ly/3hQ4sgw]]>
The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyber attacks and malicious online activities. To ensure business continuity and mitigate risks, enterprises need to detect and respond to security threats in real-time. While the “new normal” presents several security challenges, it also offers enterprises a unique opportunity to enforce and bolster 360-degree security measures. Join our upcoming webinar to discover how advanced data analytics can help you detect and address: Fraudulent transactions Cyber attacks Data thefts Asset and data security To learn more about the webinar - view https://bit.ly/3hQ4sgw]]> Mon, 21 Sep 2020 08:38:58 GMT /slideshow/eliminate-cybersecurity-threats-using-data-analytics-build-a-resilient-enterprise-during-covid19/238571187 streamanalytix@slideshare.net(streamanalytix) Eliminate cyber-security threats using data analytics – Build a resilient enterprise during COVID-19 streamanalytix The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyber attacks and malicious online activities. To ensure business continuity and mitigate risks, enterprises need to detect and respond to security threats in real-time. While the “new normal” presents several security challenges, it also offers enterprises a unique opportunity to enforce and bolster 360-degree security measures. Join our upcoming webinar to discover how advanced data analytics can help you detect and address: Fraudulent transactions Cyber attacks Data thefts Asset and data security To learn more about the webinar - view https://bit.ly/3hQ4sgw <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eliminatecybersecuritythreatsusingdataanalytics-200921083858-thumbnail.jpg?width=120&height=120&fit=bounds" /> The current pandemic situation has fueled an unprecedented rise in digital transactions across the globe. This has led to a surge in cyber attacks and malicious online activities. To ensure business continuity and mitigate risks, enterprises need to detect and respond to security threats in real-time. While the “new normal” presents several security challenges, it also offers enterprises a unique opportunity to enforce and bolster 360-degree security measures. Join our upcoming webinar to discover how advanced data analytics can help you detect and address: Fraudulent transactions Cyber attacks Data thefts Asset and data security To learn more about the webinar - view https://bit.ly/3hQ4sgw

Eliminate cyber-security threats using data analytics – Build a resilient enterprise during COVID-19 from Impetus Technologies

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0 Automated EDW Assessment and Actionable Recommendations - Impetus Webinar /slideshow/automated-edw-assessment-and-actionable-recommendations-impetus-webinar/235702181 automatededwassessmentandactionablerecommendations-200616093731
Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories. An intelligent automation-based workload assessment offered by Impetus’ Workload Transformation Solution can help you get actionable insights. It profiles workloads and maps their compatibility with your target cloud environment. As a result, you are prepared to avoid common pitfalls and ensure a successful cloud transition of your ETL and analytics workloads. In this session, our experts will share insights on how this solution can help you: Identify workload complexities, patterns, and technical debt Map existing workloads to your target cloud stack Create a blueprint for future-state architecture based on an automation-based intelligent assessment Implement best practices to de-risk your cloud transition We will also share success stories of how Impetus has helped Fortune 500 enterprises make the right decisions for a seamless EDW transformation. To learn more view our webinar here - https://bit.ly/37zSwML]]>
Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories. An intelligent automation-based workload assessment offered by Impetus’ Workload Transformation Solution can help you get actionable insights. It profiles workloads and maps their compatibility with your target cloud environment. As a result, you are prepared to avoid common pitfalls and ensure a successful cloud transition of your ETL and analytics workloads. In this session, our experts will share insights on how this solution can help you: Identify workload complexities, patterns, and technical debt Map existing workloads to your target cloud stack Create a blueprint for future-state architecture based on an automation-based intelligent assessment Implement best practices to de-risk your cloud transition We will also share success stories of how Impetus has helped Fortune 500 enterprises make the right decisions for a seamless EDW transformation. To learn more view our webinar here - https://bit.ly/37zSwML]]> Tue, 16 Jun 2020 09:37:31 GMT /slideshow/automated-edw-assessment-and-actionable-recommendations-impetus-webinar/235702181 streamanalytix@slideshare.net(streamanalytix) Automated EDW Assessment and Actionable Recommendations - Impetus Webinar streamanalytix Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories. An intelligent automation-based workload assessment offered by Impetus’ Workload Transformation Solution can help you get actionable insights. It profiles workloads and maps their compatibility with your target cloud environment. As a result, you are prepared to avoid common pitfalls and ensure a successful cloud transition of your ETL and analytics workloads. In this session, our experts will share insights on how this solution can help you: Identify workload complexities, patterns, and technical debt Map existing workloads to your target cloud stack Create a blueprint for future-state architecture based on an automation-based intelligent assessment Implement best practices to de-risk your cloud transition We will also share success stories of how Impetus has helped Fortune 500 enterprises make the right decisions for a seamless EDW transformation. To learn more view our webinar here - https://bit.ly/37zSwML <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/automatededwassessmentandactionablerecommendations-200616093731-thumbnail.jpg?width=120&height=120&fit=bounds" /> Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories. An intelligent automation-based workload assessment offered by Impetus’ Workload Transformation Solution can help you get actionable insights. It profiles workloads and maps their compatibility with your target cloud environment. As a result, you are prepared to avoid common pitfalls and ensure a successful cloud transition of your ETL and analytics workloads. In this session, our experts will share insights on how this solution can help you: Identify workload complexities, patterns, and technical debt Map existing workloads to your target cloud stack Create a blueprint for future-state architecture based on an automation-based intelligent assessment Implement best practices to de-risk your cloud transition We will also share success stories of how Impetus has helped Fortune 500 enterprises make the right decisions for a seamless EDW transformation. To learn more view our webinar here - https://bit.ly/37zSwML

Automated EDW Assessment and Actionable Recommendations - Impetus Webinar from Impetus Technologies

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0 Building a mature foundation for life in the cloud /slideshow/building-a-mature-foundation-for-life-in-the-cloud/229101470 buildingamaturefoundationforlifeinthecloud-200225074933
While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental approach. This webinar will help you plan for a mature foundation for all the phases of a cloud adoption journey. The content of this session is drawn from multiple cloud adoption projects at large enterprises to detail the following: Opportunities and challenges of cloud adoption Best practices to ensure a seamless transition to the cloud including exploration, migration, basic patterns, application transformation and maintenance Automation and self-service enablement in the cloud. View the webinar here - https://bit.ly/2TcSkMv]]>
While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental approach. This webinar will help you plan for a mature foundation for all the phases of a cloud adoption journey. The content of this session is drawn from multiple cloud adoption projects at large enterprises to detail the following: Opportunities and challenges of cloud adoption Best practices to ensure a seamless transition to the cloud including exploration, migration, basic patterns, application transformation and maintenance Automation and self-service enablement in the cloud. View the webinar here - https://bit.ly/2TcSkMv]]> Tue, 25 Feb 2020 07:49:33 GMT /slideshow/building-a-mature-foundation-for-life-in-the-cloud/229101470 streamanalytix@slideshare.net(streamanalytix) Building a mature foundation for life in the cloud streamanalytix While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental approach. This webinar will help you plan for a mature foundation for all the phases of a cloud adoption journey. The content of this session is drawn from multiple cloud adoption projects at large enterprises to detail the following: Opportunities and challenges of cloud adoption Best practices to ensure a seamless transition to the cloud including exploration, migration, basic patterns, application transformation and maintenance Automation and self-service enablement in the cloud. View the webinar here - https://bit.ly/2TcSkMv <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildingamaturefoundationforlifeinthecloud-200225074933-thumbnail.jpg?width=120&height=120&fit=bounds" /> While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental approach. This webinar will help you plan for a mature foundation for all the phases of a cloud adoption journey. The content of this session is drawn from multiple cloud adoption projects at large enterprises to detail the following: Opportunities and challenges of cloud adoption Best practices to ensure a seamless transition to the cloud including exploration, migration, basic patterns, application transformation and maintenance Automation and self-service enablement in the cloud. View the webinar here - https://bit.ly/2TcSkMv

Building a mature foundation for life in the cloud from Impetus Technologies

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0 Best practices to build a sustainable data lake on cloud - Impetus Webinar /slideshow/best-practices-to-build-a-sustainable-data-lake-on-cloud-221897954/221897954 bestpracticestobuildasustainabledatalakeoncloud-200120072636
Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on the cloud. While there are so many choices for architecture, tech stack, and solutions available on various platforms to fit your use case, it is imperative to consider the key mantras and lifeline principles that will help you succeed in your cloud data lake journey. In this webinar, we share the best practices and the key considerations that will help you build a robust data lake architecture on the cloud. To view the webinar - visit https://bit.ly/2sG8BAp]]>
Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on the cloud. While there are so many choices for architecture, tech stack, and solutions available on various platforms to fit your use case, it is imperative to consider the key mantras and lifeline principles that will help you succeed in your cloud data lake journey. In this webinar, we share the best practices and the key considerations that will help you build a robust data lake architecture on the cloud. To view the webinar - visit https://bit.ly/2sG8BAp]]> Mon, 20 Jan 2020 07:26:36 GMT /slideshow/best-practices-to-build-a-sustainable-data-lake-on-cloud-221897954/221897954 streamanalytix@slideshare.net(streamanalytix) Best practices to build a sustainable data lake on cloud - Impetus Webinar streamanalytix Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on the cloud. While there are so many choices for architecture, tech stack, and solutions available on various platforms to fit your use case, it is imperative to consider the key mantras and lifeline principles that will help you succeed in your cloud data lake journey. In this webinar, we share the best practices and the key considerations that will help you build a robust data lake architecture on the cloud. To view the webinar - visit https://bit.ly/2sG8BAp <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bestpracticestobuildasustainabledatalakeoncloud-200120072636-thumbnail.jpg?width=120&height=120&fit=bounds" /> Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on the cloud. While there are so many choices for architecture, tech stack, and solutions available on various platforms to fit your use case, it is imperative to consider the key mantras and lifeline principles that will help you succeed in your cloud data lake journey. In this webinar, we share the best practices and the key considerations that will help you build a robust data lake architecture on the cloud. To view the webinar - visit https://bit.ly/2sG8BAp

Best practices to build a sustainable data lake on cloud - Impetus Webinar from Impetus Technologies

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0 Automate and Optimize Data Warehouse Migration to Snowflake /slideshow/automate-and-optimize-data-warehouse-migration-to-snowflake/207103171 automateyourdwmigrationtosnowflake-191218081127
View the webinar here - https://bit.ly/2ErkxYY Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity. The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution. Join our upcoming webinar where Impetus experts will detail: Cloud migration strategy Critical considerations for moving to the cloud Nuances of migration journey to Snowflake Demo – Automated workload transformation to Snowflake. To view - visit https://bit.ly/2ErkxYY]]>
View the webinar here - https://bit.ly/2ErkxYY Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity. The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution. Join our upcoming webinar where Impetus experts will detail: Cloud migration strategy Critical considerations for moving to the cloud Nuances of migration journey to Snowflake Demo – Automated workload transformation to Snowflake. To view - visit https://bit.ly/2ErkxYY]]> Wed, 18 Dec 2019 08:11:27 GMT /slideshow/automate-and-optimize-data-warehouse-migration-to-snowflake/207103171 streamanalytix@slideshare.net(streamanalytix) Automate and Optimize Data Warehouse Migration to Snowflake streamanalytix View the webinar here - https://bit.ly/2ErkxYY Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity. The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution. Join our upcoming webinar where Impetus experts will detail: Cloud migration strategy Critical considerations for moving to the cloud Nuances of migration journey to Snowflake Demo – Automated workload transformation to Snowflake. To view - visit https://bit.ly/2ErkxYY <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/automateyourdwmigrationtosnowflake-191218081127-thumbnail.jpg?width=120&height=120&fit=bounds" /> View the webinar here - https://bit.ly/2ErkxYY Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity. The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution. Join our upcoming webinar where Impetus experts will detail: Cloud migration strategy Critical considerations for moving to the cloud Nuances of migration journey to Snowflake Demo – Automated workload transformation to Snowflake. To view - visit https://bit.ly/2ErkxYY

Automate and Optimize Data Warehouse Migration to Snowflake from Impetus Technologies

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0 Instantly convert Teradata ETL and EDW to Spark- Impetus webinar /slideshow/instantly-convert-teradata-etl-and-edw-to-spark-impetus-webinar/186169860 instantlyconvertteradataetlandedwtospark-cloudoron-prem-191024073101
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘modern data architecture’ technologies. The sophisticated algorithmic and statistical analytics, and interoperability, would also enable businesses to handle vast and complex data at high speeds. But the challenges and risks involved in an enterprise data warehouse transformation are well known. Impetus Workload Transformation solution is the only 100% cloud ready solution to assess, migrate, and validate your complex data transformation and analytical workloads from Teradata to modern open systems such as Spark, Hive or Scala. Find out how your enterprise can ensure a swift move to big data / cloud using an automation based EDW transformation solution. Join our upcoming webinar where our modern data architecture experts will talk about: Using automation to identify the candidate workloads to migrate Building a prioritized EDW conversion roadmap based on cost, performance, and business objectives Devising an effective offload strategy to a scalable data architecture Rapidly transforming complex business logic and code (with UDFs) using automation. To view the webinar, visit - https://bit.ly/347S19N]]>
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘modern data architecture’ technologies. The sophisticated algorithmic and statistical analytics, and interoperability, would also enable businesses to handle vast and complex data at high speeds. But the challenges and risks involved in an enterprise data warehouse transformation are well known. Impetus Workload Transformation solution is the only 100% cloud ready solution to assess, migrate, and validate your complex data transformation and analytical workloads from Teradata to modern open systems such as Spark, Hive or Scala. Find out how your enterprise can ensure a swift move to big data / cloud using an automation based EDW transformation solution. Join our upcoming webinar where our modern data architecture experts will talk about: Using automation to identify the candidate workloads to migrate Building a prioritized EDW conversion roadmap based on cost, performance, and business objectives Devising an effective offload strategy to a scalable data architecture Rapidly transforming complex business logic and code (with UDFs) using automation. To view the webinar, visit - https://bit.ly/347S19N]]> Thu, 24 Oct 2019 07:31:01 GMT /slideshow/instantly-convert-teradata-etl-and-edw-to-spark-impetus-webinar/186169860 streamanalytix@slideshare.net(streamanalytix) Instantly convert Teradata ETL and EDW to Spark- Impetus webinar streamanalytix Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘modern data architecture’ technologies. The sophisticated algorithmic and statistical analytics, and interoperability, would also enable businesses to handle vast and complex data at high speeds. But the challenges and risks involved in an enterprise data warehouse transformation are well known. Impetus Workload Transformation solution is the only 100% cloud ready solution to assess, migrate, and validate your complex data transformation and analytical workloads from Teradata to modern open systems such as Spark, Hive or Scala. Find out how your enterprise can ensure a swift move to big data / cloud using an automation based EDW transformation solution. Join our upcoming webinar where our modern data architecture experts will talk about: Using automation to identify the candidate workloads to migrate Building a prioritized EDW conversion roadmap based on cost, performance, and business objectives Devising an effective offload strategy to a scalable data architecture Rapidly transforming complex business logic and code (with UDFs) using automation. To view the webinar, visit - https://bit.ly/347S19N <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/instantlyconvertteradataetlandedwtospark-cloudoron-prem-191024073101-thumbnail.jpg?width=120&height=120&fit=bounds" /> Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘modern data architecture’ technologies. The sophisticated algorithmic and statistical analytics, and interoperability, would also enable businesses to handle vast and complex data at high speeds. But the challenges and risks involved in an enterprise data warehouse transformation are well known. Impetus Workload Transformation solution is the only 100% cloud ready solution to assess, migrate, and validate your complex data transformation and analytical workloads from Teradata to modern open systems such as Spark, Hive or Scala. Find out how your enterprise can ensure a swift move to big data / cloud using an automation based EDW transformation solution. Join our upcoming webinar where our modern data architecture experts will talk about: Using automation to identify the candidate workloads to migrate Building a prioritized EDW conversion roadmap based on cost, performance, and business objectives Devising an effective offload strategy to a scalable data architecture Rapidly transforming complex business logic and code (with UDFs) using automation. To view the webinar, visit - https://bit.ly/347S19N

Instantly convert Teradata ETL and EDW to Spark- Impetus webinar from Impetus Technologies

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0 Keys to establish sustainable DW and analytics on the cloud -Impetus webinar /slideshow/keys-to-establish-sustainable-dw-and-analytics-on-the-cloud-impetus-webinar/186165953 keystoestablishsustainabledwandanalyticsonthecloud-191024072132
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms, powerful automation is crucial at a process, code, and data level. However, this transition is not the end, but the beginning of creating sustainable business outcomes through a democratized and extensible data architecture. These outcomes are realized through the cloud architecture’s scaling options and the ease of advanced analytics, establishing a data-driven culture, and monetizing data for increased/new revenue. Join our upcoming webinar where our experts share: Keys to formulating an effective blueprint for DW transformation to the cloud How to leverage existing DW investments by harnessing decades of coding effort within weeks The best practices for driving tangible business outcomes through cloud-scale analytics. To view the webinar, visit - https://bit.ly/2MJ01rK]]>
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms, powerful automation is crucial at a process, code, and data level. However, this transition is not the end, but the beginning of creating sustainable business outcomes through a democratized and extensible data architecture. These outcomes are realized through the cloud architecture’s scaling options and the ease of advanced analytics, establishing a data-driven culture, and monetizing data for increased/new revenue. Join our upcoming webinar where our experts share: Keys to formulating an effective blueprint for DW transformation to the cloud How to leverage existing DW investments by harnessing decades of coding effort within weeks The best practices for driving tangible business outcomes through cloud-scale analytics. To view the webinar, visit - https://bit.ly/2MJ01rK]]> Thu, 24 Oct 2019 07:21:32 GMT /slideshow/keys-to-establish-sustainable-dw-and-analytics-on-the-cloud-impetus-webinar/186165953 streamanalytix@slideshare.net(streamanalytix) Keys to establish sustainable DW and analytics on the cloud -Impetus webinar streamanalytix Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms, powerful automation is crucial at a process, code, and data level. However, this transition is not the end, but the beginning of creating sustainable business outcomes through a democratized and extensible data architecture. These outcomes are realized through the cloud architecture’s scaling options and the ease of advanced analytics, establishing a data-driven culture, and monetizing data for increased/new revenue. Join our upcoming webinar where our experts share: Keys to formulating an effective blueprint for DW transformation to the cloud How to leverage existing DW investments by harnessing decades of coding effort within weeks The best practices for driving tangible business outcomes through cloud-scale analytics. To view the webinar, visit - https://bit.ly/2MJ01rK <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/keystoestablishsustainabledwandanalyticsonthecloud-191024072132-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms, powerful automation is crucial at a process, code, and data level. However, this transition is not the end, but the beginning of creating sustainable business outcomes through a democratized and extensible data architecture. These outcomes are realized through the cloud architecture’s scaling options and the ease of advanced analytics, establishing a data-driven culture, and monetizing data for increased/new revenue. Join our upcoming webinar where our experts share: Keys to formulating an effective blueprint for DW transformation to the cloud How to leverage existing DW investments by harnessing decades of coding effort within weeks The best practices for driving tangible business outcomes through cloud-scale analytics. To view the webinar, visit - https://bit.ly/2MJ01rK

Keys to establish sustainable DW and analytics on the cloud -Impetus webinar from Impetus Technologies

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0 Solving the EDW transformation conundrum - Impetus webinar /slideshow/solving-the-edw-transformation-conundrum-impetus-webinar/186159836 solvingtheedwtransformationconundrum-migratingasisortotalre-engineering-191024070634
Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the systems as is is not the best transformation choice for all workloads, total re-engineering can be complex and disrupt business processes. An EDW transformation approach that maintains a balance between the two extreme approaches is required to solve this problem. You will have full control in addressing low-performing or costly, resource-constrained workloads, while also building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premises strategy. In this webinar, experts from Impetus will walk you through a path to solve this dilemma. Attendees of this session will be able to: Arrive at a pragmatic decision when faced with the dilemma Learn methods to estimate and measure the bottom-line impact across applications and reporting workloads Build a prioritized transformation roadmap of use cases based on cost, performance, and business needs Understand how automation can be used to optimize workloads for a scalable and iterative architecture. To view the webinar visit - https://bit.ly/31KWqO6]]>
Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the systems as is is not the best transformation choice for all workloads, total re-engineering can be complex and disrupt business processes. An EDW transformation approach that maintains a balance between the two extreme approaches is required to solve this problem. You will have full control in addressing low-performing or costly, resource-constrained workloads, while also building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premises strategy. In this webinar, experts from Impetus will walk you through a path to solve this dilemma. Attendees of this session will be able to: Arrive at a pragmatic decision when faced with the dilemma Learn methods to estimate and measure the bottom-line impact across applications and reporting workloads Build a prioritized transformation roadmap of use cases based on cost, performance, and business needs Understand how automation can be used to optimize workloads for a scalable and iterative architecture. To view the webinar visit - https://bit.ly/31KWqO6]]> Thu, 24 Oct 2019 07:06:34 GMT /slideshow/solving-the-edw-transformation-conundrum-impetus-webinar/186159836 streamanalytix@slideshare.net(streamanalytix) Solving the EDW transformation conundrum - Impetus webinar streamanalytix Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the systems as is is not the best transformation choice for all workloads, total re-engineering can be complex and disrupt business processes. An EDW transformation approach that maintains a balance between the two extreme approaches is required to solve this problem. You will have full control in addressing low-performing or costly, resource-constrained workloads, while also building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premises strategy. In this webinar, experts from Impetus will walk you through a path to solve this dilemma. Attendees of this session will be able to: Arrive at a pragmatic decision when faced with the dilemma Learn methods to estimate and measure the bottom-line impact across applications and reporting workloads Build a prioritized transformation roadmap of use cases based on cost, performance, and business needs Understand how automation can be used to optimize workloads for a scalable and iterative architecture. To view the webinar visit - https://bit.ly/31KWqO6 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solvingtheedwtransformationconundrum-migratingasisortotalre-engineering-191024070634-thumbnail.jpg?width=120&height=120&fit=bounds" /> Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the systems as is is not the best transformation choice for all workloads, total re-engineering can be complex and disrupt business processes. An EDW transformation approach that maintains a balance between the two extreme approaches is required to solve this problem. You will have full control in addressing low-performing or costly, resource-constrained workloads, while also building a strong foundation for a modern data warehouse architecture that supports sophisticated analytics using a cloud/hybrid/on-premises strategy. In this webinar, experts from Impetus will walk you through a path to solve this dilemma. Attendees of this session will be able to: Arrive at a pragmatic decision when faced with the dilemma Learn methods to estimate and measure the bottom-line impact across applications and reporting workloads Build a prioritized transformation roadmap of use cases based on cost, performance, and business needs Understand how automation can be used to optimize workloads for a scalable and iterative architecture. To view the webinar visit - https://bit.ly/31KWqO6

Solving the EDW transformation conundrum - Impetus webinar from Impetus Technologies

]]> 136 0 https://cdn.slidesharecdn.com/ss_thumbnails/solvingtheedwtransformationconundrum-migratingasisortotalre-engineering-191024070634-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Anomaly detection with machine learning at scale /slideshow/anomaly-detection-with-machine-learning-at-scale/182678855 anomalydetectionwithmachinelearningatscale-191016055819
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies. Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies. In this webinar, we will discuss : How machine learning can help in identifying anomalies Steps to approach an anomaly detection problem Various techniques available for anomaly detection Best algorithms that fit in different situations Implementing an anomaly detection use case on the StreamAnalytix platform To view the webinar - https://bit.ly/2IV2ahC]]>
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies. Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies. In this webinar, we will discuss : How machine learning can help in identifying anomalies Steps to approach an anomaly detection problem Various techniques available for anomaly detection Best algorithms that fit in different situations Implementing an anomaly detection use case on the StreamAnalytix platform To view the webinar - https://bit.ly/2IV2ahC]]> Wed, 16 Oct 2019 05:58:19 GMT /slideshow/anomaly-detection-with-machine-learning-at-scale/182678855 streamanalytix@slideshare.net(streamanalytix) Anomaly detection with machine learning at scale streamanalytix Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies. Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies. In this webinar, we will discuss : How machine learning can help in identifying anomalies Steps to approach an anomaly detection problem Various techniques available for anomaly detection Best algorithms that fit in different situations Implementing an anomaly detection use case on the StreamAnalytix platform To view the webinar - https://bit.ly/2IV2ahC <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anomalydetectionwithmachinelearningatscale-191016055819-thumbnail.jpg?width=120&height=120&fit=bounds" /> Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies. Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies. In this webinar, we will discuss : How machine learning can help in identifying anomalies Steps to approach an anomaly detection problem Various techniques available for anomaly detection Best algorithms that fit in different situations Implementing an anomaly detection use case on the StreamAnalytix platform To view the webinar - https://bit.ly/2IV2ahC

Anomaly detection with machine learning at scale from Impetus Technologies

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0 Keys to Formulating an Effective Data Management Strategy in the Age of Data /slideshow/keys-to-formulating-an-effective-data-management-strategy-in-the-age-of-data/182674867 keystoformulating-191016054337
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future? In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy. To view the webinar, https://bit.ly/31jyLnV]]>
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future? In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy. To view the webinar, https://bit.ly/31jyLnV]]> Wed, 16 Oct 2019 05:43:37 GMT /slideshow/keys-to-formulating-an-effective-data-management-strategy-in-the-age-of-data/182674867 streamanalytix@slideshare.net(streamanalytix) Keys to Formulating an Effective Data Management Strategy in the Age of Data streamanalytix Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future? In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy. To view the webinar, https://bit.ly/31jyLnV <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/keystoformulating-191016054337-thumbnail.jpg?width=120&height=120&fit=bounds" /> Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future? In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy. To view the webinar, https://bit.ly/31jyLnV

Keys to Formulating an Effective Data Management Strategy in the Age of Data from Impetus Technologies

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0 Build Spark-based ETL Workflows on Cloud in Minutes /slideshow/build-sparkbased-etl-workflows-on-cloud-in-minutes/150145898 buildspark-basedetlworkflowsoncloudinminutes-190617092736
StreamAnalytix offers the must-haves of a modern ETL solution and the ability to accelerate your shift to the cloud. With an intuitive visual interface, StreamAnalytix simplifies building and running Spark-based ETL workflows on the cloud. View our latest webinar where you’ll learn about: The must-haves of a modern ETL solution on cloud How you can accelerate application development and minimize hand coding How to deploy a cloud-based ETL application in minutes Smarter ways to operationalize your ETL workflow You can also view the webinar here - https://www.streamanalytix.com/webinar/build-spark-based-etl-workflows-on-cloud-in-minutes/]]>
StreamAnalytix offers the must-haves of a modern ETL solution and the ability to accelerate your shift to the cloud. With an intuitive visual interface, StreamAnalytix simplifies building and running Spark-based ETL workflows on the cloud. View our latest webinar where you’ll learn about: The must-haves of a modern ETL solution on cloud How you can accelerate application development and minimize hand coding How to deploy a cloud-based ETL application in minutes Smarter ways to operationalize your ETL workflow You can also view the webinar here - https://www.streamanalytix.com/webinar/build-spark-based-etl-workflows-on-cloud-in-minutes/]]> Mon, 17 Jun 2019 09:27:36 GMT /slideshow/build-sparkbased-etl-workflows-on-cloud-in-minutes/150145898 streamanalytix@slideshare.net(streamanalytix) Build Spark-based ETL Workflows on Cloud in Minutes streamanalytix StreamAnalytix offers the must-haves of a modern ETL solution and the ability to accelerate your shift to the cloud. With an intuitive visual interface, StreamAnalytix simplifies building and running Spark-based ETL workflows on the cloud. View our latest webinar where you’ll learn about: The must-haves of a modern ETL solution on cloud How you can accelerate application development and minimize hand coding How to deploy a cloud-based ETL application in minutes Smarter ways to operationalize your ETL workflow You can also view the webinar here - https://www.streamanalytix.com/webinar/build-spark-based-etl-workflows-on-cloud-in-minutes/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildspark-basedetlworkflowsoncloudinminutes-190617092736-thumbnail.jpg?width=120&height=120&fit=bounds" /> StreamAnalytix offers the must-haves of a modern ETL solution and the ability to accelerate your shift to the cloud. With an intuitive visual interface, StreamAnalytix simplifies building and running Spark-based ETL workflows on the cloud. View our latest webinar where you’ll learn about: The must-haves of a modern ETL solution on cloud How you can accelerate application development and minimize hand coding How to deploy a cloud-based ETL application in minutes Smarter ways to operationalize your ETL workflow You can also view the webinar here - https://www.streamanalytix.com/webinar/build-spark-based-etl-workflows-on-cloud-in-minutes/

Build Spark-based ETL Workflows on Cloud in Minutes from Impetus Technologies

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0 Planning your Next-Gen Change Data Capture (CDC) Architecture in 2019 - StreamAnalytix Webinar /slideshow/planning-your-nextgen-change-data-capture-cdc-architecture-in-2019-streamanalytix-webinar/126427394 finalplanningyournext-genchangedatacapturecdcarchitecture-181221095815
Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing. How can modern enterprises provide their business users real-time access to the most up-to-date and complete data? In our upcoming webinar, our experts will talk about how real-time CDC improves data availability and fast data processing through incremental updates in the big data lake, without modifying or slowing down source systems. Join this session to learn: What is CDC and how it impacts business The various methods for CDC in the enterprise data warehouse The key factors to consider while building a next-gen CDC architecture: Batch vs. real-time approaches Moving from just capturing and storing, to capturing enriching, transforming, and storing Avoiding stopgap silos to state-through processing Implementation of CDC through a live demo and use-case You can view the webinar here - https://www.streamanalytix.com/webinar/planning-your-next-gen-change-data-capture-cdc-architecture-in-2019/ For more information visit - https://www.streamanalytix.com]]>
Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing. How can modern enterprises provide their business users real-time access to the most up-to-date and complete data? In our upcoming webinar, our experts will talk about how real-time CDC improves data availability and fast data processing through incremental updates in the big data lake, without modifying or slowing down source systems. Join this session to learn: What is CDC and how it impacts business The various methods for CDC in the enterprise data warehouse The key factors to consider while building a next-gen CDC architecture: Batch vs. real-time approaches Moving from just capturing and storing, to capturing enriching, transforming, and storing Avoiding stopgap silos to state-through processing Implementation of CDC through a live demo and use-case You can view the webinar here - https://www.streamanalytix.com/webinar/planning-your-next-gen-change-data-capture-cdc-architecture-in-2019/ For more information visit - https://www.streamanalytix.com]]> Fri, 21 Dec 2018 09:58:15 GMT /slideshow/planning-your-nextgen-change-data-capture-cdc-architecture-in-2019-streamanalytix-webinar/126427394 streamanalytix@slideshare.net(streamanalytix) Planning your Next-Gen Change Data Capture (CDC) Architecture in 2019 - StreamAnalytix Webinar streamanalytix Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing. How can modern enterprises provide their business users real-time access to the most up-to-date and complete data? In our upcoming webinar, our experts will talk about how real-time CDC improves data availability and fast data processing through incremental updates in the big data lake, without modifying or slowing down source systems. Join this session to learn: What is CDC and how it impacts business The various methods for CDC in the enterprise data warehouse The key factors to consider while building a next-gen CDC architecture: Batch vs. real-time approaches Moving from just capturing and storing, to capturing enriching, transforming, and storing Avoiding stopgap silos to state-through processing Implementation of CDC through a live demo and use-case You can view the webinar here - https://www.streamanalytix.com/webinar/planning-your-next-gen-change-data-capture-cdc-architecture-in-2019/ For more information visit - https://www.streamanalytix.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalplanningyournext-genchangedatacapturecdcarchitecture-181221095815-thumbnail.jpg?width=120&height=120&fit=bounds" /> Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing. How can modern enterprises provide their business users real-time access to the most up-to-date and complete data? In our upcoming webinar, our experts will talk about how real-time CDC improves data availability and fast data processing through incremental updates in the big data lake, without modifying or slowing down source systems. Join this session to learn: What is CDC and how it impacts business The various methods for CDC in the enterprise data warehouse The key factors to consider while building a next-gen CDC architecture: Batch vs. real-time approaches Moving from just capturing and storing, to capturing enriching, transforming, and storing Avoiding stopgap silos to state-through processing Implementation of CDC through a live demo and use-case You can view the webinar here - https://www.streamanalytix.com/webinar/planning-your-next-gen-change-data-capture-cdc-architecture-in-2019/ For more information visit - https://www.streamanalytix.com

Planning your Next-Gen Change Data Capture (CDC) Architecture in 2019 - StreamAnalytix Webinar from Impetus Technologies

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0 Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real-time Streaming /slideshow/apache-spark-the-new-enterprise-backbone-for-etl-batch-processing-and-realtime-streaming/102076380 apachespark-180612054900
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake. Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads. Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today. In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable. The following scenarios will be covered: On-Prem Data quality and ETL with Apache Spark using pre-built operators Advanced monitoring of Spark pipelines On Cloud Visual interactive development of Apache Spark Structured Streaming pipelines IoT use-case with event-time, late-arrival and watermarks Python based predictive analytics running on Spark]]>
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake. Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads. Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today. In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable. The following scenarios will be covered: On-Prem Data quality and ETL with Apache Spark using pre-built operators Advanced monitoring of Spark pipelines On Cloud Visual interactive development of Apache Spark Structured Streaming pipelines IoT use-case with event-time, late-arrival and watermarks Python based predictive analytics running on Spark]]> Tue, 12 Jun 2018 05:49:00 GMT /slideshow/apache-spark-the-new-enterprise-backbone-for-etl-batch-processing-and-realtime-streaming/102076380 streamanalytix@slideshare.net(streamanalytix) Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real-time Streaming streamanalytix In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake. Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads. Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today. In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable. The following scenarios will be covered: On-Prem Data quality and ETL with Apache Spark using pre-built operators Advanced monitoring of Spark pipelines On Cloud Visual interactive development of Apache Spark Structured Streaming pipelines IoT use-case with event-time, late-arrival and watermarks Python based predictive analytics running on Spark <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachespark-180612054900-thumbnail.jpg?width=120&height=120&fit=bounds" /> In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake. Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads. Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today. In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable. The following scenarios will be covered: On-Prem Data quality and ETL with Apache Spark using pre-built operators Advanced monitoring of Spark pipelines On Cloud Visual interactive development of Apache Spark Structured Streaming pipelines IoT use-case with event-time, late-arrival and watermarks Python based predictive analytics running on Spark

Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real-time Streaming from Impetus Technologies

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0 Streaming Analytics for IoT with Apache Spark /slideshow/streaming-analytics-for-iot-with-apache-spark/88499850 streaminganalyticsforiotapachesparkfeb16final2-180221130500
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time. Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics. Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback. The webinar will cover the following: Generic IoT application blueprint Case studies on IoT applications built on Apache Spark – connected car and industrial IoT Demonstration of an easy, visual approach to building IoT Spark apps]]>
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time. Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics. Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback. The webinar will cover the following: Generic IoT application blueprint Case studies on IoT applications built on Apache Spark – connected car and industrial IoT Demonstration of an easy, visual approach to building IoT Spark apps]]> Wed, 21 Feb 2018 13:04:59 GMT /slideshow/streaming-analytics-for-iot-with-apache-spark/88499850 streamanalytix@slideshare.net(streamanalytix) Streaming Analytics for IoT with Apache Spark streamanalytix Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time. Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics. Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback. The webinar will cover the following: Generic IoT application blueprint Case studies on IoT applications built on Apache Spark – connected car and industrial IoT Demonstration of an easy, visual approach to building IoT Spark apps <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/streaminganalyticsforiotapachesparkfeb16final2-180221130500-thumbnail.jpg?width=120&height=120&fit=bounds" /> Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time. Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics. Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback. The webinar will cover the following: Generic IoT application blueprint Case studies on IoT applications built on Apache Spark – connected car and industrial IoT Demonstration of an easy, visual approach to building IoT Spark apps

Streaming Analytics for IoT with Apache Spark from Impetus Technologies

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0 Anomaly Detection - Real World Scenarios, Approaches and Live Implementation /streamanalytix/anomaly-detection-real-world-scenarios-approaches-and-live-implementation anomalydetectionrealworldscenariosapproachesandliveimplementation-171220111122
Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management, predictive healthcare, energy monitoring and many more. However, detecting anomalies accurately can be difficult. What qualifies as an anomaly is continuously changing and anomalous patterns are unexpected. An effective anomaly detection system needs to continuously self-learn without relying on pre-programmed thresholds. Join our speakers Ravishankar Rao Vallabhajosyula, Senior Data Scientist, Impetus Technologies and Saurabh Dutta, Technical Product Manager - StreamAnalytix, in a discussion on: Importance of anomaly detection in enterprise data, types of anomalies, and challenges Prominent real-time application areas Approaches, techniques and algorithms for anomaly detection Sample use-case implementation on the StreamAnalytix platform]]>
Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management, predictive healthcare, energy monitoring and many more. However, detecting anomalies accurately can be difficult. What qualifies as an anomaly is continuously changing and anomalous patterns are unexpected. An effective anomaly detection system needs to continuously self-learn without relying on pre-programmed thresholds. Join our speakers Ravishankar Rao Vallabhajosyula, Senior Data Scientist, Impetus Technologies and Saurabh Dutta, Technical Product Manager - StreamAnalytix, in a discussion on: Importance of anomaly detection in enterprise data, types of anomalies, and challenges Prominent real-time application areas Approaches, techniques and algorithms for anomaly detection Sample use-case implementation on the StreamAnalytix platform]]> Wed, 20 Dec 2017 11:11:22 GMT /streamanalytix/anomaly-detection-real-world-scenarios-approaches-and-live-implementation streamanalytix@slideshare.net(streamanalytix) Anomaly Detection - Real World Scenarios, Approaches and Live Implementation streamanalytix Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management, predictive healthcare, energy monitoring and many more. However, detecting anomalies accurately can be difficult. What qualifies as an anomaly is continuously changing and anomalous patterns are unexpected. An effective anomaly detection system needs to continuously self-learn without relying on pre-programmed thresholds. Join our speakers Ravishankar Rao Vallabhajosyula, Senior Data Scientist, Impetus Technologies and Saurabh Dutta, Technical Product Manager - StreamAnalytix, in a discussion on: Importance of anomaly detection in enterprise data, types of anomalies, and challenges Prominent real-time application areas Approaches, techniques and algorithms for anomaly detection Sample use-case implementation on the StreamAnalytix platform <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anomalydetectionrealworldscenariosapproachesandliveimplementation-171220111122-thumbnail.jpg?width=120&height=120&fit=bounds" /> Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management, predictive healthcare, energy monitoring and many more. However, detecting anomalies accurately can be difficult. What qualifies as an anomaly is continuously changing and anomalous patterns are unexpected. An effective anomaly detection system needs to continuously self-learn without relying on pre-programmed thresholds. Join our speakers Ravishankar Rao Vallabhajosyula, Senior Data Scientist, Impetus Technologies and Saurabh Dutta, Technical Product Manager - StreamAnalytix, in a discussion on: Importance of anomaly detection in enterprise data, types of anomalies, and challenges Prominent real-time application areas Approaches, techniques and algorithms for anomaly detection Sample use-case implementation on the StreamAnalytix platform

Anomaly Detection - Real World Scenarios, Approaches and Live Implementation from Impetus Technologies

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0 The structured streaming upgrade to Apache Spark and how enterprises can benefit- StreamAnalytix Webinar /slideshow/the-structured-streaming-upgrade-to-apache-spark-and-how-enterprises-can-benefit-streamanalytix-webinar/84049943 thestructuredstreamingupgradetoapachespark-streamanalytixwebinar-171214065156
The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data. Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing. In this webinar, Anand Venugopal (Product Head) and other technical experts from StreamAnalytix, speak about the promising developments in Apache Spark 2.0 and how organizations can leverage structured streaming to make timely and accurate decisions and stay competitive.]]>
The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data. Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing. In this webinar, Anand Venugopal (Product Head) and other technical experts from StreamAnalytix, speak about the promising developments in Apache Spark 2.0 and how organizations can leverage structured streaming to make timely and accurate decisions and stay competitive.]]> Thu, 14 Dec 2017 06:51:56 GMT /slideshow/the-structured-streaming-upgrade-to-apache-spark-and-how-enterprises-can-benefit-streamanalytix-webinar/84049943 streamanalytix@slideshare.net(streamanalytix) The structured streaming upgrade to Apache Spark and how enterprises can benefit- StreamAnalytix Webinar streamanalytix The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data. Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing. In this webinar, Anand Venugopal (Product Head) and other technical experts from StreamAnalytix, speak about the promising developments in Apache Spark 2.0 and how organizations can leverage structured streaming to make timely and accurate decisions and stay competitive. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thestructuredstreamingupgradetoapachespark-streamanalytixwebinar-171214065156-thumbnail.jpg?width=120&height=120&fit=bounds" /> The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data. Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing. In this webinar, Anand Venugopal (Product Head) and other technical experts from StreamAnalytix, speak about the promising developments in Apache Spark 2.0 and how organizations can leverage structured streaming to make timely and accurate decisions and stay competitive.

The structured streaming upgrade to Apache Spark and how enterprises can benefit- StreamAnalytix Webinar from Impetus Technologies

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0 Apache spark empowering the real time data driven enterprise - StreamAnalytix webinar /slideshow/apache-spark-empowering-the-real-time-data-driven-enterprise-streamanalytix-webinar/84049751 apachesparkempoweringthereal-timedatadrivenenterprise-streamanalytixwebinar-171214064813
Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises. Join our guest speaker from Forrester Research, VP & Principal Analyst, Mike Gualtieri and StreamAnalytix, Product Head, Anand Venugopal for a discussion on the trends and directions defining the growing importance of Apache Spark for stream processing, machine learning and other advanced data analytics applications.]]>
Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises. Join our guest speaker from Forrester Research, VP & Principal Analyst, Mike Gualtieri and StreamAnalytix, Product Head, Anand Venugopal for a discussion on the trends and directions defining the growing importance of Apache Spark for stream processing, machine learning and other advanced data analytics applications.]]> Thu, 14 Dec 2017 06:48:13 GMT /slideshow/apache-spark-empowering-the-real-time-data-driven-enterprise-streamanalytix-webinar/84049751 streamanalytix@slideshare.net(streamanalytix) Apache spark empowering the real time data driven enterprise - StreamAnalytix webinar streamanalytix Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises. Join our guest speaker from Forrester Research, VP & Principal Analyst, Mike Gualtieri and StreamAnalytix, Product Head, Anand Venugopal for a discussion on the trends and directions defining the growing importance of Apache Spark for stream processing, machine learning and other advanced data analytics applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachesparkempoweringthereal-timedatadrivenenterprise-streamanalytixwebinar-171214064813-thumbnail.jpg?width=120&height=120&fit=bounds" /> Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises. Join our guest speaker from Forrester Research, VP & Principal Analyst, Mike Gualtieri and StreamAnalytix, Product Head, Anand Venugopal for a discussion on the trends and directions defining the growing importance of Apache Spark for stream processing, machine learning and other advanced data analytics applications.

Apache spark empowering the real time data driven enterprise - StreamAnalytix webinar from Impetus Technologies

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0 Anomaly Detection and Spark Implementation - Meetup Presentation.pptx /slideshow/anomaly-detection-and-spark-implementation-meetup-presentationpptx/83636976 anomolydetectionmeetuppresentation-171208100351
StreamAnalytix sponsored a meetup on “Anomaly Detection Techniques and Implementation using Apache Spark” which took place on Tuesday December 5, 2017 at Larkspur Landing Milpitas Hotel, Milpitas, CA. The meetup was led by Maxim Shkarayev, Lead Data Scientist, Impetus Technologies along with Punit Shah, Solution Architect, StreamAnalytix and Anand Venugopal, Product Head & AVP, StreamAnalytix, who introduced and summarized the vast field of Anomaly Detection and its applications in various industry problems. The speakers at the event also offered a structured approach to choose the right anomaly detection techniques based on specific use-cases and data characteristics which was followed by a demonstration of some real-world anomaly detection use-cases on Apache Spark based analytics platform. ]]>
StreamAnalytix sponsored a meetup on “Anomaly Detection Techniques and Implementation using Apache Spark” which took place on Tuesday December 5, 2017 at Larkspur Landing Milpitas Hotel, Milpitas, CA. The meetup was led by Maxim Shkarayev, Lead Data Scientist, Impetus Technologies along with Punit Shah, Solution Architect, StreamAnalytix and Anand Venugopal, Product Head & AVP, StreamAnalytix, who introduced and summarized the vast field of Anomaly Detection and its applications in various industry problems. The speakers at the event also offered a structured approach to choose the right anomaly detection techniques based on specific use-cases and data characteristics which was followed by a demonstration of some real-world anomaly detection use-cases on Apache Spark based analytics platform. ]]> Fri, 08 Dec 2017 10:03:51 GMT /slideshow/anomaly-detection-and-spark-implementation-meetup-presentationpptx/83636976 streamanalytix@slideshare.net(streamanalytix) Anomaly Detection and Spark Implementation - Meetup Presentation.pptx streamanalytix StreamAnalytix sponsored a meetup on “Anomaly Detection Techniques and Implementation using Apache Spark” which took place on Tuesday December 5, 2017 at Larkspur Landing Milpitas Hotel, Milpitas, CA. The meetup was led by Maxim Shkarayev, Lead Data Scientist, Impetus Technologies along with Punit Shah, Solution Architect, StreamAnalytix and Anand Venugopal, Product Head & AVP, StreamAnalytix, who introduced and summarized the vast field of Anomaly Detection and its applications in various industry problems. The speakers at the event also offered a structured approach to choose the right anomaly detection techniques based on specific use-cases and data characteristics which was followed by a demonstration of some real-world anomaly detection use-cases on Apache Spark based analytics platform. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anomolydetectionmeetuppresentation-171208100351-thumbnail.jpg?width=120&height=120&fit=bounds" /> StreamAnalytix sponsored a meetup on “Anomaly Detection Techniques and Implementation using Apache Spark” which took place on Tuesday December 5, 2017 at Larkspur Landing Milpitas Hotel, Milpitas, CA. The meetup was led by Maxim Shkarayev, Lead Data Scientist, Impetus Technologies along with Punit Shah, Solution Architect, StreamAnalytix and Anand Venugopal, Product Head & AVP, StreamAnalytix, who introduced and summarized the vast field of Anomaly Detection and its applications in various industry problems. The speakers at the event also offered a structured approach to choose the right anomaly detection techniques based on specific use-cases and data characteristics which was followed by a demonstration of some real-world anomaly detection use-cases on Apache Spark based analytics platform.

Anomaly Detection and Spark Implementation - Meetup Presentation.pptx from Impetus Technologies

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0 Importance of Big Data Analytics /slideshow/importance-of-big-data-analytics/37536793 importanceofbigdataanalytics-140731085305-phpapp02
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.]]>
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.]]> Thu, 31 Jul 2014 08:53:04 GMT /slideshow/importance-of-big-data-analytics/37536793 streamanalytix@slideshare.net(streamanalytix) Importance of Big Data Analytics streamanalytix StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/importanceofbigdataanalytics-140731085305-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.

Importance of Big Data Analytics from Impetus Technologies

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0 https://cdn.slidesharecdn.com/profile-photo-streamanalytix-48x48.jpg?cb=1600677214 Impetus is focused on enabling a unified, clear and present view for the intelligent enterprise. For more than a decade, Impetus has been the ‘Partner of Choice’ for several Fortune 500 enterprises in transforming their data lifecycle journey by enabling EDW migration, unification of data sources, advanced analytics and self-service consumption. Our solutions for EDW Transformation and Unification include industry’s only platform for assessment and automated transformation of legacy systems to a big data/cloud/hybrid environment. www.impetus.com https://cdn.slidesharecdn.com/ss_thumbnails/thefastestwaytoconvertetlanalyticsanddatawarehousetoaws-200921095312-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-fastest-way-to-convert-etl-analytics-and-data-warehouse-to-aws-impetus-webinar-238571765/238571765 The fastest way to con... https://cdn.slidesharecdn.com/ss_thumbnails/eliminatecybersecuritythreatsusingdataanalytics-200921083858-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/eliminate-cybersecurity-threats-using-data-analytics-build-a-resilient-enterprise-during-covid19/238571187 Eliminate cyber-securi... https://cdn.slidesharecdn.com/ss_thumbnails/automatededwassessmentandactionablerecommendations-200616093731-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/automated-edw-assessment-and-actionable-recommendations-impetus-webinar/235702181 Automated EDW Assessme...