�ݺ�ߣshows by User: CasertaConcepts

�ݺ�ߣshows by User: CasertaConcepts / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: CasertaConcepts / Wed, 14 Feb 2018 20:08:37 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: CasertaConcepts Using Machine Learning & Spark to Power Data-Driven Marketing /slideshow/using-machine-learning-spark-to-power-datadriven-marketing/88008312 joemaxprez-180214200837
Joe Caserta provides a statistically-driven model to understanding the customer path to purchase, which combines online, offline and third-party data sources. He shows how customer data is fed to machine learning, which assigns weighted credit to customer interactions in order to give insight to what marketing activities truly matter. This presentation is from Caserta's February 2018 Big Data Warehousing Meetup co-hosted with Databricks.]]>
Joe Caserta provides a statistically-driven model to understanding the customer path to purchase, which combines online, offline and third-party data sources. He shows how customer data is fed to machine learning, which assigns weighted credit to customer interactions in order to give insight to what marketing activities truly matter. This presentation is from Caserta's February 2018 Big Data Warehousing Meetup co-hosted with Databricks.]]> Wed, 14 Feb 2018 20:08:37 GMT /slideshow/using-machine-learning-spark-to-power-datadriven-marketing/88008312 CasertaConcepts@slideshare.net(CasertaConcepts) Using Machine Learning & Spark to Power Data-Driven Marketing CasertaConcepts Joe Caserta provides a statistically-driven model to understanding the customer path to purchase, which combines online, offline and third-party data sources. He shows how customer data is fed to machine learning, which assigns weighted credit to customer interactions in order to give insight to what marketing activities truly matter. This presentation is from Caserta's February 2018 Big Data Warehousing Meetup co-hosted with Databricks. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/joemaxprez-180214200837-thumbnail.jpg?width=120&height=120&fit=bounds" /> Joe Caserta provides a statistically-driven model to understanding the customer path to purchase, which combines online, offline and third-party data sources. He shows how customer data is fed to machine learning, which assigns weighted credit to customer interactions in order to give insight to what marketing activities truly matter. This presentation is from Caserta's February 2018 Big Data Warehousing Meetup co-hosted with Databricks.

Using Machine Learning & Spark to Power Data-Driven Marketing from Caserta

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0 Data Intelligence: How the Amalgamation of Data, Science, and Technology is Changing the Way We Do Business /slideshow/data-intelligence-how-the-amalgamation-of-data-science-and-technology-is-changing-the-way-we-do-business/86925434 cdaomiami2018-caserta-180130164854
Joe Caserta explores the world of analytics, tech, and AI to paint a picture of where business is headed. This presentation is from the CDAO Exchange in Miami 2018.]]>
Joe Caserta explores the world of analytics, tech, and AI to paint a picture of where business is headed. This presentation is from the CDAO Exchange in Miami 2018.]]> Tue, 30 Jan 2018 16:48:54 GMT /slideshow/data-intelligence-how-the-amalgamation-of-data-science-and-technology-is-changing-the-way-we-do-business/86925434 CasertaConcepts@slideshare.net(CasertaConcepts) Data Intelligence: How the Amalgamation of Data, Science, and Technology is Changing the Way We Do Business CasertaConcepts Joe Caserta explores the world of analytics, tech, and AI to paint a picture of where business is headed. This presentation is from the CDAO Exchange in Miami 2018. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cdaomiami2018-caserta-180130164854-thumbnail.jpg?width=120&height=120&fit=bounds" /> Joe Caserta explores the world of analytics, tech, and AI to paint a picture of where business is headed. This presentation is from the CDAO Exchange in Miami 2018.

Data Intelligence: How the Amalgamation of Data, Science, and Technology is Changing the Way We Do Business from Caserta

]]> 1109 5 https://cdn.slidesharecdn.com/ss_thumbnails/cdaomiami2018-caserta-180130164854-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017 /slideshow/creating-a-devops-practice-for-analytics-strata-data-september-28-2017/81945335 strata2017-devops9-27noclientfinal-171112211326
Over the past eight or nine years, applying DevOps practices to various areas of technology within business has grown in popularity and produced demonstrable results. These principles are particularly fruitful when applied to a data analytics environment. Bob Eilbacher explains how to implement a strong DevOps practice for data analysis, starting with the necessary cultural changes that must be made at the executive level and ending with an overview of potential DevOps toolchains. Bob also outlines why DevOps and disruption management go hand in hand. Topics include: - The benefits of a DevOps approach, with an emphasis on improving quality and efficiency of data analytics - Why the push for a DevOps practice needs to come from the C-suite and how it can be integrated into all levels of business - An overview of the best tools for developers, data analysts, and everyone in between, based on the business’s existing data ecosystem - The challenges that come with transforming into an analytics-driven company and how to overcome them - Practical use cases from Caserta clients This presentation was originally given by Bob at the 2017 Strata Data Conference in New York City. ]]>
Over the past eight or nine years, applying DevOps practices to various areas of technology within business has grown in popularity and produced demonstrable results. These principles are particularly fruitful when applied to a data analytics environment. Bob Eilbacher explains how to implement a strong DevOps practice for data analysis, starting with the necessary cultural changes that must be made at the executive level and ending with an overview of potential DevOps toolchains. Bob also outlines why DevOps and disruption management go hand in hand. Topics include: - The benefits of a DevOps approach, with an emphasis on improving quality and efficiency of data analytics - Why the push for a DevOps practice needs to come from the C-suite and how it can be integrated into all levels of business - An overview of the best tools for developers, data analysts, and everyone in between, based on the business’s existing data ecosystem - The challenges that come with transforming into an analytics-driven company and how to overcome them - Practical use cases from Caserta clients This presentation was originally given by Bob at the 2017 Strata Data Conference in New York City. ]]> Sun, 12 Nov 2017 21:13:25 GMT /slideshow/creating-a-devops-practice-for-analytics-strata-data-september-28-2017/81945335 CasertaConcepts@slideshare.net(CasertaConcepts) Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017 CasertaConcepts Over the past eight or nine years, applying DevOps practices to various areas of technology within business has grown in popularity and produced demonstrable results. These principles are particularly fruitful when applied to a data analytics environment. Bob Eilbacher explains how to implement a strong DevOps practice for data analysis, starting with the necessary cultural changes that must be made at the executive level and ending with an overview of potential DevOps toolchains. Bob also outlines why DevOps and disruption management go hand in hand. Topics include: - The benefits of a DevOps approach, with an emphasis on improving quality and efficiency of data analytics - Why the push for a DevOps practice needs to come from the C-suite and how it can be integrated into all levels of business - An overview of the best tools for developers, data analysts, and everyone in between, based on the business’s existing data ecosystem - The challenges that come with transforming into an analytics-driven company and how to overcome them - Practical use cases from Caserta clients This presentation was originally given by Bob at the 2017 Strata Data Conference in New York City. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/strata2017-devops9-27noclientfinal-171112211326-thumbnail.jpg?width=120&height=120&fit=bounds" /> Over the past eight or nine years, applying DevOps practices to various areas of technology within business has grown in popularity and produced demonstrable results. These principles are particularly fruitful when applied to a data analytics environment. Bob Eilbacher explains how to implement a strong DevOps practice for data analysis, starting with the necessary cultural changes that must be made at the executive level and ending with an overview of potential DevOps toolchains. Bob also outlines why DevOps and disruption management go hand in hand. Topics include: - The benefits of a DevOps approach, with an emphasis on improving quality and efficiency of data analytics - Why the push for a DevOps practice needs to come from the C-suite and how it can be integrated into all levels of business - An overview of the best tools for developers, data analysts, and everyone in between, based on the business’s existing data ecosystem - The challenges that come with transforming into an analytics-driven company and how to overcome them - Practical use cases from Caserta clients This presentation was originally given by Bob at the 2017 Strata Data Conference in New York City.

Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017 from Caserta

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0 General Data Protection Regulation - BDW Meetup, October 11th, 2017 /CasertaConcepts/general-data-protection-regulation-bdw-meetup-october-11th-2017 gdprmeetuptopost-171017204937
Caserta Presentation: General Data Protection Regulation (GDPR) is a business and technical challenge for companies worldwide - and the deadlines are coming fast! American institutions that do business in the EU or have customers from the EU will have their data practices affected. With this in mind, Caserta – joined by Waterline Data, Salt Recruiting, and Squire Patton Boggs – hosted a BDW Meetup on the GDPR, which is perhaps the most controversial data legislation that has been passed to date. Joe Caserta, Founding President, Caserta, spoke on the basics of the GDPR, how it will impact data privacy around the world, and some techniques geared towards compliance. ]]>
Caserta Presentation: General Data Protection Regulation (GDPR) is a business and technical challenge for companies worldwide - and the deadlines are coming fast! American institutions that do business in the EU or have customers from the EU will have their data practices affected. With this in mind, Caserta – joined by Waterline Data, Salt Recruiting, and Squire Patton Boggs – hosted a BDW Meetup on the GDPR, which is perhaps the most controversial data legislation that has been passed to date. Joe Caserta, Founding President, Caserta, spoke on the basics of the GDPR, how it will impact data privacy around the world, and some techniques geared towards compliance. ]]> Tue, 17 Oct 2017 20:49:37 GMT /CasertaConcepts/general-data-protection-regulation-bdw-meetup-october-11th-2017 CasertaConcepts@slideshare.net(CasertaConcepts) General Data Protection Regulation - BDW Meetup, October 11th, 2017 CasertaConcepts Caserta Presentation: General Data Protection Regulation (GDPR) is a business and technical challenge for companies worldwide - and the deadlines are coming fast! American institutions that do business in the EU or have customers from the EU will have their data practices affected. With this in mind, Caserta – joined by Waterline Data, Salt Recruiting, and Squire Patton Boggs – hosted a BDW Meetup on the GDPR, which is perhaps the most controversial data legislation that has been passed to date. Joe Caserta, Founding President, Caserta, spoke on the basics of the GDPR, how it will impact data privacy around the world, and some techniques geared towards compliance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gdprmeetuptopost-171017204937-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Presentation: General Data Protection Regulation (GDPR) is a business and technical challenge for companies worldwide - and the deadlines are coming fast! American institutions that do business in the EU or have customers from the EU will have their data practices affected. With this in mind, Caserta – joined by Waterline Data, Salt Recruiting, and Squire Patton Boggs – hosted a BDW Meetup on the GDPR, which is perhaps the most controversial data legislation that has been passed to date. Joe Caserta, Founding President, Caserta, spoke on the basics of the GDPR, how it will impact data privacy around the world, and some techniques geared towards compliance.

General Data Protection Regulation - BDW Meetup, October 11th, 2017 from Caserta

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0 Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT CDOIQ, 2017) /slideshow/integrating-the-cdo-role-into-your-organization-managing-the-disruption-mit-cdoiq-2017/78051765 mitcdoiqcasertapresentation2017-170719172537
The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must: • Provide a single point of accountability for data initiatives and issues • Innovate ways to use existing data and evangelize a data vision for the organization • Support & enforce data governance policies via outreach, training & tools • Work with IT to develop/maintain an enterprise data repository • Set standards for analytical reporting and generate data insights through data science In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success. ]]>
The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must: • Provide a single point of accountability for data initiatives and issues • Innovate ways to use existing data and evangelize a data vision for the organization • Support & enforce data governance policies via outreach, training & tools • Work with IT to develop/maintain an enterprise data repository • Set standards for analytical reporting and generate data insights through data science In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success. ]]> Wed, 19 Jul 2017 17:25:37 GMT /slideshow/integrating-the-cdo-role-into-your-organization-managing-the-disruption-mit-cdoiq-2017/78051765 CasertaConcepts@slideshare.net(CasertaConcepts) Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT CDOIQ, 2017) CasertaConcepts The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must: • Provide a single point of accountability for data initiatives and issues • Innovate ways to use existing data and evangelize a data vision for the organization • Support & enforce data governance policies via outreach, training & tools • Work with IT to develop/maintain an enterprise data repository • Set standards for analytical reporting and generate data insights through data science In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mitcdoiqcasertapresentation2017-170719172537-thumbnail.jpg?width=120&height=120&fit=bounds" /> The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must: • Provide a single point of accountability for data initiatives and issues • Innovate ways to use existing data and evangelize a data vision for the organization • Support & enforce data governance policies via outreach, training & tools • Work with IT to develop/maintain an enterprise data repository • Set standards for analytical reporting and generate data insights through data science In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success.

Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT CDOIQ, 2017) from Caserta

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0 Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote /slideshow/architecting-data-for-the-modern-enterprise-data-summit-2017-closing-keynote/76354520 datasummitkeynote2017-170525191258
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence. This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC. ]]>
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence. This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC. ]]> Thu, 25 May 2017 19:12:58 GMT /slideshow/architecting-data-for-the-modern-enterprise-data-summit-2017-closing-keynote/76354520 CasertaConcepts@slideshare.net(CasertaConcepts) Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote CasertaConcepts The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence. This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datasummitkeynote2017-170525191258-thumbnail.jpg?width=120&height=120&fit=bounds" /> The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence. This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.

Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote from Caserta

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0 Introduction to Data Science (Data Summit, 2017) /slideshow/introduction-to-data-science-data-summit-2017/76026478 datasummitnyc2017-datasciencepresetation-170516160846
At DBTA's 2017 Data Summit in New York, NY, Caserta Founder & President, Joe Caserta, and Senior Architect, Bill Walrond, gave a pre-conference workshop presenting the ins and outs of data science. Data scientist has been dubbed the "sexiest" job of the 21st century, but it requires an understanding of many different elements of data analysis. This presentation dives into the fundamentals of data exploration, mining, and preparation, applying the principles of statistical modeling and data visualization in real-world applications.]]>
At DBTA's 2017 Data Summit in New York, NY, Caserta Founder & President, Joe Caserta, and Senior Architect, Bill Walrond, gave a pre-conference workshop presenting the ins and outs of data science. Data scientist has been dubbed the "sexiest" job of the 21st century, but it requires an understanding of many different elements of data analysis. This presentation dives into the fundamentals of data exploration, mining, and preparation, applying the principles of statistical modeling and data visualization in real-world applications.]]> Tue, 16 May 2017 16:08:45 GMT /slideshow/introduction-to-data-science-data-summit-2017/76026478 CasertaConcepts@slideshare.net(CasertaConcepts) Introduction to Data Science (Data Summit, 2017) CasertaConcepts At DBTA's 2017 Data Summit in New York, NY, Caserta Founder & President, Joe Caserta, and Senior Architect, Bill Walrond, gave a pre-conference workshop presenting the ins and outs of data science. Data scientist has been dubbed the "sexiest" job of the 21st century, but it requires an understanding of many different elements of data analysis. This presentation dives into the fundamentals of data exploration, mining, and preparation, applying the principles of statistical modeling and data visualization in real-world applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datasummitnyc2017-datasciencepresetation-170516160846-thumbnail.jpg?width=120&height=120&fit=bounds" /> At DBTA's 2017 Data Summit in New York, NY, Caserta Founder & President, Joe Caserta, and Senior Architect, Bill Walrond, gave a pre-conference workshop presenting the ins and outs of data science. Data scientist has been dubbed the "sexiest" job of the 21st century, but it requires an understanding of many different elements of data analysis. This presentation dives into the fundamentals of data exploration, mining, and preparation, applying the principles of statistical modeling and data visualization in real-world applications.

Introduction to Data Science (Data Summit, 2017) from Caserta

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0 Looker Data Modeling in the Age of Cloud - BDW Meetup May 2, 2017 /slideshow/looker-data-modeling-in-the-age-of-cloud-bdw-meetup-may-2-2017-75790128/75790128 datamodelingintheageofcloud-170508192133
Looker Presentation Caserta Concepts, Blue Apron, and Looker are joining forces to recount the journey of an enterprise-level migration to the cloud with exciting new technologies. This is the analytics platform of the future. Greg Wells shares Caserta's view on Enterprise Cloud Adoption and how this is impacting BI and the data architecture needed to support big data analytics. Daniel Mintz, Looker’s Chief Data Evangelist, presents a comprehensive introduction to Looker, and Jason Jho, Head of Data Engineering, Blue Apron, gives the audience an in-depth look at the environment that is helping Blue Apron achieve success by using data to become an analytics-driven company.]]>
Looker Presentation Caserta Concepts, Blue Apron, and Looker are joining forces to recount the journey of an enterprise-level migration to the cloud with exciting new technologies. This is the analytics platform of the future. Greg Wells shares Caserta's view on Enterprise Cloud Adoption and how this is impacting BI and the data architecture needed to support big data analytics. Daniel Mintz, Looker’s Chief Data Evangelist, presents a comprehensive introduction to Looker, and Jason Jho, Head of Data Engineering, Blue Apron, gives the audience an in-depth look at the environment that is helping Blue Apron achieve success by using data to become an analytics-driven company.]]> Mon, 08 May 2017 19:21:33 GMT /slideshow/looker-data-modeling-in-the-age-of-cloud-bdw-meetup-may-2-2017-75790128/75790128 CasertaConcepts@slideshare.net(CasertaConcepts) Looker Data Modeling in the Age of Cloud - BDW Meetup May 2, 2017 CasertaConcepts Looker Presentation Caserta Concepts, Blue Apron, and Looker are joining forces to recount the journey of an enterprise-level migration to the cloud with exciting new technologies. This is the analytics platform of the future. Greg Wells shares Caserta's view on Enterprise Cloud Adoption and how this is impacting BI and the data architecture needed to support big data analytics. Daniel Mintz, Looker’s Chief Data Evangelist, presents a comprehensive introduction to Looker, and Jason Jho, Head of Data Engineering, Blue Apron, gives the audience an in-depth look at the environment that is helping Blue Apron achieve success by using data to become an analytics-driven company. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datamodelingintheageofcloud-170508192133-thumbnail.jpg?width=120&height=120&fit=bounds" /> Looker Presentation Caserta Concepts, Blue Apron, and Looker are joining forces to recount the journey of an enterprise-level migration to the cloud with exciting new technologies. This is the analytics platform of the future. Greg Wells shares Caserta's view on Enterprise Cloud Adoption and how this is impacting BI and the data architecture needed to support big data analytics. Daniel Mintz, Looker’s Chief Data Evangelist, presents a comprehensive introduction to Looker, and Jason Jho, Head of Data Engineering, Blue Apron, gives the audience an in-depth look at the environment that is helping Blue Apron achieve success by using data to become an analytics-driven company.

Looker Data Modeling in the Age of Cloud - BDW Meetup May 2, 2017 from Caserta

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0 The Rise of the CDO in Today's Enterprise /slideshow/the-rise-of-the-cdo-in-todays-enterprise/70108471 cdonyc30-mindec2016pdf-161213190343
There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on: - Defining the CDO title - Outlining the skills that enhance chances for success - Listing all the many things the company thinks you are responsible for - Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success - Presenting a concise list of the most pressing challenges - Sharing insights and arguments for how best to meet the challenges and succeed in your new role]]>
There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on: - Defining the CDO title - Outlining the skills that enhance chances for success - Listing all the many things the company thinks you are responsible for - Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success - Presenting a concise list of the most pressing challenges - Sharing insights and arguments for how best to meet the challenges and succeed in your new role]]> Tue, 13 Dec 2016 19:03:43 GMT /slideshow/the-rise-of-the-cdo-in-todays-enterprise/70108471 CasertaConcepts@slideshare.net(CasertaConcepts) The Rise of the CDO in Today's Enterprise CasertaConcepts There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on: - Defining the CDO title - Outlining the skills that enhance chances for success - Listing all the many things the company thinks you are responsible for - Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success - Presenting a concise list of the most pressing challenges - Sharing insights and arguments for how best to meet the challenges and succeed in your new role <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cdonyc30-mindec2016pdf-161213190343-thumbnail.jpg?width=120&height=120&fit=bounds" /> There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on: - Defining the CDO title - Outlining the skills that enhance chances for success - Listing all the many things the company thinks you are responsible for - Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success - Presenting a concise list of the most pressing challenges - Sharing insights and arguments for how best to meet the challenges and succeed in your new role

The Rise of the CDO in Today's Enterprise from Caserta

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0 Building a New Platform for Customer Analytics /slideshow/building-a-new-platform-for-customer-analytics/69113933 novwebinarpdf-161116192324
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs. ]]>
Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs. ]]> Wed, 16 Nov 2016 19:23:24 GMT /slideshow/building-a-new-platform-for-customer-analytics/69113933 CasertaConcepts@slideshare.net(CasertaConcepts) Building a New Platform for Customer Analytics CasertaConcepts Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/novwebinarpdf-161116192324-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Concepts and Databricks partner up to bring you this insightful webinar on how a business can choose from all of the emerging big data technologies to figure out which one best fits their needs.

Building a New Platform for Customer Analytics from Caserta

]]> 972 3 https://cdn.slidesharecdn.com/ss_thumbnails/novwebinarpdf-161116192324-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016 /slideshow/building-new-data-ecosystem-for-customer-analytics-strata-hadoop-world-2016/66612287 strata2016presentation-160930205120
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark. For more information, visit http://casertaconcepts.com/]]>
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark. For more information, visit http://casertaconcepts.com/]]> Fri, 30 Sep 2016 20:51:19 GMT /slideshow/building-new-data-ecosystem-for-customer-analytics-strata-hadoop-world-2016/66612287 CasertaConcepts@slideshare.net(CasertaConcepts) Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016 CasertaConcepts Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark. For more information, visit http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/strata2016presentation-160930205120-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark. For more information, visit http://casertaconcepts.com/

Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016 from Caserta

]]> 1856 8 https://cdn.slidesharecdn.com/ss_thumbnails/strata2016presentation-160930205120-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 You're the New CDO, Now What? /CasertaConcepts/youre-the-new-cdo-now-what mitcdoiq2016-160715152734
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role. In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer. For more information, visit http://casertaconcepts.com/]]>
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role. In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer. For more information, visit http://casertaconcepts.com/]]> Fri, 15 Jul 2016 15:27:34 GMT /CasertaConcepts/youre-the-new-cdo-now-what CasertaConcepts@slideshare.net(CasertaConcepts) You're the New CDO, Now What? CasertaConcepts Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role. In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer. For more information, visit http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mitcdoiq2016-160715152734-thumbnail.jpg?width=120&height=120&fit=bounds" /> Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role. In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer. For more information, visit http://casertaconcepts.com/

You're the New CDO, Now What? from Caserta

]]> 2312 4 https://cdn.slidesharecdn.com/ss_thumbnails/mitcdoiq2016-160715152734-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 The Data Lake - Balancing Data Governance and Innovation /slideshow/the-data-lake-balancing-data-governance-and-innovation/62357928 damadaynyc2016-160524192208
Joe Caserta gave the presentation "The Data Lake - Balancing Data Governance and Innovation" at DAMA NY's one day mini-conference on May 19th. Speakers covered emerging trends in Data Governance, especially around Big Data. For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.]]>
Joe Caserta gave the presentation "The Data Lake - Balancing Data Governance and Innovation" at DAMA NY's one day mini-conference on May 19th. Speakers covered emerging trends in Data Governance, especially around Big Data. For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.]]> Tue, 24 May 2016 19:22:08 GMT /slideshow/the-data-lake-balancing-data-governance-and-innovation/62357928 CasertaConcepts@slideshare.net(CasertaConcepts) The Data Lake - Balancing Data Governance and Innovation CasertaConcepts Joe Caserta gave the presentation "The Data Lake - Balancing Data Governance and Innovation" at DAMA NY's one day mini-conference on May 19th. Speakers covered emerging trends in Data Governance, especially around Big Data. For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/damadaynyc2016-160524192208-thumbnail.jpg?width=120&height=120&fit=bounds" /> Joe Caserta gave the presentation "The Data Lake - Balancing Data Governance and Innovation" at DAMA NY's one day mini-conference on May 19th. Speakers covered emerging trends in Data Governance, especially around Big Data. For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.

The Data Lake - Balancing Data Governance and Innovation from Caserta

]]> 2431 7 https://cdn.slidesharecdn.com/ss_thumbnails/damadaynyc2016-160524192208-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Making Big Data Easy for Everyone /slideshow/making-big-data-easy-for-everyone/62063304 datameercasertapresentation-160516155529
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]>
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]> Mon, 16 May 2016 15:55:29 GMT /slideshow/making-big-data-easy-for-everyone/62063304 CasertaConcepts@slideshare.net(CasertaConcepts) Making Big Data Easy for Everyone CasertaConcepts Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datameercasertapresentation-160516155529-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/

Making Big Data Easy for Everyone from Caserta

]]> 854 9 https://cdn.slidesharecdn.com/ss_thumbnails/datameercasertapresentation-160516155529-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Benefits of the Azure Cloud /slideshow/benefits-of-the-azure-cloud-62063244/62063244 benefitsoftheazurecloud-160516155358
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]>
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]> Mon, 16 May 2016 15:53:58 GMT /slideshow/benefits-of-the-azure-cloud-62063244/62063244 CasertaConcepts@slideshare.net(CasertaConcepts) Benefits of the Azure Cloud CasertaConcepts Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/benefitsoftheazurecloud-160516155358-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/

Benefits of the Azure Cloud from Caserta

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0 Big Data Analytics on the Cloud /slideshow/big-data-analytics-on-the-cloud/62063171 bigdataanalyticsonthecloud-160516155203
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]>
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]> Mon, 16 May 2016 15:52:03 GMT /slideshow/big-data-analytics-on-the-cloud/62063171 CasertaConcepts@slideshare.net(CasertaConcepts) Big Data Analytics on the Cloud CasertaConcepts Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataanalyticsonthecloud-160516155203-thumbnail.jpg?width=120&height=120&fit=bounds" /> Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few. Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO. Agenda included: - Pizza and Networking - Joe Caserta, President, Caserta Concepts - Why are we here? - Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration - Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing - James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service - Q&A, Networking For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/

Big Data Analytics on the Cloud from Caserta

]]> 1314 4 https://cdn.slidesharecdn.com/ss_thumbnails/bigdataanalyticsonthecloud-160516155203-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Intro to Data Science on Hadoop /slideshow/intro-to-data-science-on-hadoop/61962245 datasummitnyc2016-datascienceonhadoop-160512193112
Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist. For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]>
Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist. For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ ]]> Thu, 12 May 2016 19:31:12 GMT /slideshow/intro-to-data-science-on-hadoop/61962245 CasertaConcepts@slideshare.net(CasertaConcepts) Intro to Data Science on Hadoop CasertaConcepts Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist. For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datasummitnyc2016-datascienceonhadoop-160512193112-thumbnail.jpg?width=120&height=120&fit=bounds" /> Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist. For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/

Intro to Data Science on Hadoop from Caserta

]]> 1670 10 https://cdn.slidesharecdn.com/ss_thumbnails/datasummitnyc2016-datascienceonhadoop-160512193112-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 The Emerging Role of the Data Lake /slideshow/the-emerging-role-of-the-data-lake/61747735 theemergingroleofthedatalake-160506142745
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world. Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization. Joe also participated in in two panel discussions during the show: • "Data Lake or Data Warehouse?" • "Big Data Investments Have Been Made, But What's Next For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/. ]]>
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world. Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization. Joe also participated in in two panel discussions during the show: • "Data Lake or Data Warehouse?" • "Big Data Investments Have Been Made, But What's Next For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/. ]]> Fri, 06 May 2016 14:27:45 GMT /slideshow/the-emerging-role-of-the-data-lake/61747735 CasertaConcepts@slideshare.net(CasertaConcepts) The Emerging Role of the Data Lake CasertaConcepts The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world. Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization. Joe also participated in in two panel discussions during the show: • "Data Lake or Data Warehouse?" • "Big Data Investments Have Been Made, But What's Next For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theemergingroleofthedatalake-160506142745-thumbnail.jpg?width=120&height=120&fit=bounds" /> The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world. Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization. Joe also participated in in two panel discussions during the show: • "Data Lake or Data Warehouse?" • "Big Data Investments Have Been Made, But What's Next For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.

The Emerging Role of the Data Lake from Caserta

]]> 1453 5 https://cdn.slidesharecdn.com/ss_thumbnails/theemergingroleofthedatalake-160506142745-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Not Your Father's Database by Databricks /slideshow/not-your-fathers-database-by-databricks/60886212 databricks-notyourfathersdatabase-160413212748
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/]]>
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/]]> Wed, 13 Apr 2016 21:27:48 GMT /slideshow/not-your-fathers-database-by-databricks/60886212 CasertaConcepts@slideshare.net(CasertaConcepts) Not Your Father's Database by Databricks CasertaConcepts During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/databricks-notyourfathersdatabase-160413212748-thumbnail.jpg?width=120&height=120&fit=bounds" /> During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/

Not Your Father's Database by Databricks from Caserta

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0 Mastering Customer Data on Apache Spark /slideshow/mastering-customer-data-on-apache-spark/60886107 bdwmeetupmasteringcustomerdataonapachespark-160413212426
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/]]>
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/]]> Wed, 13 Apr 2016 21:24:25 GMT /slideshow/mastering-customer-data-on-apache-spark/60886107 CasertaConcepts@slideshare.net(CasertaConcepts) Mastering Customer Data on Apache Spark CasertaConcepts During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bdwmeetupmasteringcustomerdataonapachespark-160413212426-thumbnail.jpg?width=120&height=120&fit=bounds" /> During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability. The speakers brought together best practice techniques with Apache Spark to achieve complete CDI. Speakers: Joe Caserta, President, Caserta Concepts Kevin Rasmussen, Big Data Engineer, Caserta Concepts Vida Ha, Lead Solutions Engineer, Databricks The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included: · Building an end-to-end CDI pipeline in Apache Spark · What works, what doesn’t, and how do we use Spark we evolve · Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior · Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching · Using GraphX for matching and scalable clustering · Analyzing large data files with Spark · Using Spark for ETL on large datasets · Applying Machine Learning & Data Science to large datasets · Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for. For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/

Mastering Customer Data on Apache Spark from Caserta

]]> 3245 10 https://cdn.slidesharecdn.com/ss_thumbnails/bdwmeetupmasteringcustomerdataonapachespark-160413212426-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-CasertaConcepts-48x48.jpg?cb=1528253807 Joe Caserta is a recognized authority, author and educator in big data and data analytics. He is the Founder and President of Caserta Concepts, a New York-based innovation technology and consulting firm that specializes in big data analytics, data warehousing, ETL and business intelligence. Joe collaborates with CIOs and their IT organizations to help gain new business insights through a better understanding of their data. Joe and his company implement emerging technologies in big data, NoSQL, search, predictive modeling and data visualization to solve highly complex business challenges, serving clients worldwide in the areas of finance, insurance, healthcare, digital advertising, eCom... www.casertaconcepts.com/ https://cdn.slidesharecdn.com/ss_thumbnails/joemaxprez-180214200837-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-machine-learning-spark-to-power-datadriven-marketing/88008312 Using Machine Learning... https://cdn.slidesharecdn.com/ss_thumbnails/cdaomiami2018-caserta-180130164854-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-intelligence-how-the-amalgamation-of-data-science-and-technology-is-changing-the-way-we-do-business/86925434 Data Intelligence: How... https://cdn.slidesharecdn.com/ss_thumbnails/strata2017-devops9-27noclientfinal-171112211326-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/creating-a-devops-practice-for-analytics-strata-data-september-28-2017/81945335 Creating a DevOps Prac...