ºÝºÝߣshows by User: EricGKavanagh / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: EricGKavanagh / Tue, 04 Jun 2019 20:51:16 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: EricGKavanagh The Future of Data Warehousing and Data Integration /slideshow/the-future-of-data-warehousing-and-data-integration/148876417 updated6-4egbgwebinar-thefutureofdatawarehousinganddataintegration-190604205117
The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration. Join this live webinar to learn: -Typical requirements for data integration -Common use cases and architectural patterns -Guidelines and best practices to address data requirements -Guidelines and best practices to apply architectural patterns ]]>

The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration. Join this live webinar to learn: -Typical requirements for data integration -Common use cases and architectural patterns -Guidelines and best practices to address data requirements -Guidelines and best practices to apply architectural patterns ]]>
Tue, 04 Jun 2019 20:51:16 GMT /slideshow/the-future-of-data-warehousing-and-data-integration/148876417 EricGKavanagh@slideshare.net(EricGKavanagh) The Future of Data Warehousing and Data Integration EricGKavanagh The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration. Join this live webinar to learn: -Typical requirements for data integration -Common use cases and architectural patterns -Guidelines and best practices to address data requirements -Guidelines and best practices to apply architectural patterns <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/updated6-4egbgwebinar-thefutureofdatawarehousinganddataintegration-190604205117-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration. Join this live webinar to learn: -Typical requirements for data integration -Common use cases and architectural patterns -Guidelines and best practices to address data requirements -Guidelines and best practices to apply architectural patterns
The Future of Data Warehousing and Data Integration from Eric Kavanagh
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Best Practices in DataOps: How to Create Agile, Automated Data Pipelines /slideshow/best-practices-in-dataops-how-to-create-agile-automated-data-pipelines/144477675 tamrdataopswebcast1-190508223128
Synthesis Webcast with Eric Kavanagh and Tamr DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data and code from one step of the data lifecycle to the next – from data ingestion and transformation to analysis and reporting. DataOps is not something that can be implemented all at once or in a short period of time. DataOps is a journey that requires a cultural shift. DataOps teams continuously search for new ways to cut waste, streamline steps, automate processes, increase output, and get it right the first time. The goal is to increase agility and cycle times, while reducing data defects, giving developers and business users greater confidence in data analytic output. This webcast examines how organizations adopt DataOps practices in the field. It will review results of an Eckerson Group survey that sheds light on the rate and scope of DataOps adoption. It will also describe case studies of organizations that have successfully implemented DataOps practices, the challenges they have encountered and benefits they’ve received. Tune into our webcast to learn: - User perceptions of DataOps - The rate of DataOps adoption by industry and other demographic variables - DataOps adoption by technique and component (i.e., agile, test automation, orchestration, continuous development/continuous integration) - Key challenges organizations face with DataOps - Key benefits organizations experience with DataOps - Best practices in doing DataOps - Case studies and anecdotes of DataOps at companies ]]>

Synthesis Webcast with Eric Kavanagh and Tamr DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data and code from one step of the data lifecycle to the next – from data ingestion and transformation to analysis and reporting. DataOps is not something that can be implemented all at once or in a short period of time. DataOps is a journey that requires a cultural shift. DataOps teams continuously search for new ways to cut waste, streamline steps, automate processes, increase output, and get it right the first time. The goal is to increase agility and cycle times, while reducing data defects, giving developers and business users greater confidence in data analytic output. This webcast examines how organizations adopt DataOps practices in the field. It will review results of an Eckerson Group survey that sheds light on the rate and scope of DataOps adoption. It will also describe case studies of organizations that have successfully implemented DataOps practices, the challenges they have encountered and benefits they’ve received. Tune into our webcast to learn: - User perceptions of DataOps - The rate of DataOps adoption by industry and other demographic variables - DataOps adoption by technique and component (i.e., agile, test automation, orchestration, continuous development/continuous integration) - Key challenges organizations face with DataOps - Key benefits organizations experience with DataOps - Best practices in doing DataOps - Case studies and anecdotes of DataOps at companies ]]>
Wed, 08 May 2019 22:31:28 GMT /slideshow/best-practices-in-dataops-how-to-create-agile-automated-data-pipelines/144477675 EricGKavanagh@slideshare.net(EricGKavanagh) Best Practices in DataOps: How to Create Agile, Automated Data Pipelines EricGKavanagh Synthesis Webcast with Eric Kavanagh and Tamr DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data and code from one step of the data lifecycle to the next – from data ingestion and transformation to analysis and reporting. DataOps is not something that can be implemented all at once or in a short period of time. DataOps is a journey that requires a cultural shift. DataOps teams continuously search for new ways to cut waste, streamline steps, automate processes, increase output, and get it right the first time. The goal is to increase agility and cycle times, while reducing data defects, giving developers and business users greater confidence in data analytic output. This webcast examines how organizations adopt DataOps practices in the field. It will review results of an Eckerson Group survey that sheds light on the rate and scope of DataOps adoption. It will also describe case studies of organizations that have successfully implemented DataOps practices, the challenges they have encountered and benefits they’ve received. Tune into our webcast to learn: - User perceptions of DataOps - The rate of DataOps adoption by industry and other demographic variables - DataOps adoption by technique and component (i.e., agile, test automation, orchestration, continuous development/continuous integration) - Key challenges organizations face with DataOps - Key benefits organizations experience with DataOps - Best practices in doing DataOps - Case studies and anecdotes of DataOps at companies <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tamrdataopswebcast1-190508223128-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Synthesis Webcast with Eric Kavanagh and Tamr DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. As these pipelines become more complex and development teams grow in size, organizations need better collaboration and development processes to govern the flow of data and code from one step of the data lifecycle to the next – from data ingestion and transformation to analysis and reporting. DataOps is not something that can be implemented all at once or in a short period of time. DataOps is a journey that requires a cultural shift. DataOps teams continuously search for new ways to cut waste, streamline steps, automate processes, increase output, and get it right the first time. The goal is to increase agility and cycle times, while reducing data defects, giving developers and business users greater confidence in data analytic output. This webcast examines how organizations adopt DataOps practices in the field. It will review results of an Eckerson Group survey that sheds light on the rate and scope of DataOps adoption. It will also describe case studies of organizations that have successfully implemented DataOps practices, the challenges they have encountered and benefits they’ve received. Tune into our webcast to learn: - User perceptions of DataOps - The rate of DataOps adoption by industry and other demographic variables - DataOps adoption by technique and component (i.e., agile, test automation, orchestration, continuous development/continuous integration) - Key challenges organizations face with DataOps - Key benefits organizations experience with DataOps - Best practices in doing DataOps - Case studies and anecdotes of DataOps at companies
Best Practices in DataOps: How to Create Agile, Automated Data Pipelines from Eric Kavanagh
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Expediting the Path to Discovery with Multi-Source Analysis /slideshow/expediting-the-path-to-discovery-with-multisource-analysis/135974823 3-12-briefingroom-expeditingthepathtodiscoverywithmulti-sourceanalysis-190312225805
The Briefing Room with Eric Kavanagh and Zoomdata In the realm of complex analysis, rarely does one source of data provide everything the analyst needs. Data Warehouses were designed to pull data from multiple sources, to enable that kind of cross-system discovery. But that traditional model typically required stripping the data of significant context, essentially watering down the end result, and at times obfuscating the most meaningful facets. Thanks to several advances in real-time data exploration, companies can now access raw data where it lives, and begin the analysis process often within seconds of connecting to a source. And new innovations allow for multi-source analytics, where disparate systems can be accessed simultaneously, allowing real-time discovery across multiple sources, creating a kind of analytical depth perception. Register for this special episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh, and Zoomdata speakers explain this remarkable new capability. ]]>

The Briefing Room with Eric Kavanagh and Zoomdata In the realm of complex analysis, rarely does one source of data provide everything the analyst needs. Data Warehouses were designed to pull data from multiple sources, to enable that kind of cross-system discovery. But that traditional model typically required stripping the data of significant context, essentially watering down the end result, and at times obfuscating the most meaningful facets. Thanks to several advances in real-time data exploration, companies can now access raw data where it lives, and begin the analysis process often within seconds of connecting to a source. And new innovations allow for multi-source analytics, where disparate systems can be accessed simultaneously, allowing real-time discovery across multiple sources, creating a kind of analytical depth perception. Register for this special episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh, and Zoomdata speakers explain this remarkable new capability. ]]>
Tue, 12 Mar 2019 22:58:05 GMT /slideshow/expediting-the-path-to-discovery-with-multisource-analysis/135974823 EricGKavanagh@slideshare.net(EricGKavanagh) Expediting the Path to Discovery with Multi-Source Analysis EricGKavanagh The Briefing Room with Eric Kavanagh and Zoomdata In the realm of complex analysis, rarely does one source of data provide everything the analyst needs. Data Warehouses were designed to pull data from multiple sources, to enable that kind of cross-system discovery. But that traditional model typically required stripping the data of significant context, essentially watering down the end result, and at times obfuscating the most meaningful facets. Thanks to several advances in real-time data exploration, companies can now access raw data where it lives, and begin the analysis process often within seconds of connecting to a source. And new innovations allow for multi-source analytics, where disparate systems can be accessed simultaneously, allowing real-time discovery across multiple sources, creating a kind of analytical depth perception. Register for this special episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh, and Zoomdata speakers explain this remarkable new capability. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/3-12-briefingroom-expeditingthepathtodiscoverywithmulti-sourceanalysis-190312225805-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Briefing Room with Eric Kavanagh and Zoomdata In the realm of complex analysis, rarely does one source of data provide everything the analyst needs. Data Warehouses were designed to pull data from multiple sources, to enable that kind of cross-system discovery. But that traditional model typically required stripping the data of significant context, essentially watering down the end result, and at times obfuscating the most meaningful facets. Thanks to several advances in real-time data exploration, companies can now access raw data where it lives, and begin the analysis process often within seconds of connecting to a source. And new innovations allow for multi-source analytics, where disparate systems can be accessed simultaneously, allowing real-time discovery across multiple sources, creating a kind of analytical depth perception. Register for this special episode of The Briefing Room to hear Bloor Group CEO Eric Kavanagh, and Zoomdata speakers explain this remarkable new capability.
Expediting the Path to Discovery with Multi-Source Analysis from Eric Kavanagh
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Will AI Eliminate Reports and Dashboards /slideshow/will-ai-eliminate-reports-and-dashboards/133673122 2-27synthesiswillaieliminatereportsanddashboards-190228092807
Will AI Eliminate Reports and Dashboards]]>

Will AI Eliminate Reports and Dashboards]]>
Thu, 28 Feb 2019 09:28:07 GMT /slideshow/will-ai-eliminate-reports-and-dashboards/133673122 EricGKavanagh@slideshare.net(EricGKavanagh) Will AI Eliminate Reports and Dashboards EricGKavanagh Will AI Eliminate Reports and Dashboards <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2-27synthesiswillaieliminatereportsanddashboards-190228092807-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Will AI Eliminate Reports and Dashboards
Will AI Eliminate Reports and Dashboards from Eric Kavanagh
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Metadata Mastery: A Big Step for BI Modernization /slideshow/metadata-mastery-a-big-step-for-bi-modernization/133446591 2-26-egbg-metadatamastery-190226205238
Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated? Join us to learn: - How a smart and innovative new technology resolves metadata disparity - How metadata management automation accelerates modernization efforts - How metadata management automation reduces errors and improves quality of results from data management modernization projects - How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics ]]>

Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated? Join us to learn: - How a smart and innovative new technology resolves metadata disparity - How metadata management automation accelerates modernization efforts - How metadata management automation reduces errors and improves quality of results from data management modernization projects - How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics ]]>
Tue, 26 Feb 2019 20:52:38 GMT /slideshow/metadata-mastery-a-big-step-for-bi-modernization/133446591 EricGKavanagh@slideshare.net(EricGKavanagh) Metadata Mastery: A Big Step for BI Modernization EricGKavanagh Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated? Join us to learn: - How a smart and innovative new technology resolves metadata disparity - How metadata management automation accelerates modernization efforts - How metadata management automation reduces errors and improves quality of results from data management modernization projects - How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2-26-egbg-metadatamastery-190226205238-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated? Join us to learn: - How a smart and innovative new technology resolves metadata disparity - How metadata management automation accelerates modernization efforts - How metadata management automation reduces errors and improves quality of results from data management modernization projects - How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics
Metadata Mastery: A Big Step for BI Modernization from Eric Kavanagh
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Horses for Courses: Database Roundtable /slideshow/horses-for-courses-database-roundtable/76985493 databasesurvivalrundtable-170615202601
The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.]]>

The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.]]>
Thu, 15 Jun 2017 20:26:00 GMT /slideshow/horses-for-courses-database-roundtable/76985493 EricGKavanagh@slideshare.net(EricGKavanagh) Horses for Courses: Database Roundtable EricGKavanagh The blessing and curse of today's database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He'll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/databasesurvivalrundtable-170615202601-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The blessing and curse of today&#39;s database market? So many choices! While relational databases still dominate the day-to-day business, a host of alternatives has evolved around very specific use cases: graph, document, NoSQL, hybrid (HTAP), column store, the list goes on. And the database tools market is teeming with activity as well. Register for this special Research Webcast to hear Dr. Robin Bloor share his early findings about the evolving database market. He&#39;ll be joined by Steve Sarsfield of HPE Vertica, and Robert Reeves of Datical in a roundtable discussion with Bloor Group CEO Eric Kavanagh. Send any questions to info@insideanalysis.com, or tweet with #DBSurvival.
Horses for Courses: Database Roundtable from Eric Kavanagh
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Database Survival Guide: Exploratory Webcast /slideshow/database-survival-guide-exploratory-webcast/76317153 databasesg-rb-intro2-170524203220
Database is the new black. Ever the backbone of information architectures, database technology continually evolves to meet growing and changing business needs. New types of data and applications make the database more important than ever, and understanding which technology best serves your use case is paramount to building durable systems. These days, the choices are many, so users should be careful when deciding which direction to go. Register for this Exploratory Webcast to hear veteran database Analyst Dr. Robin Bloor explain why the database market has exploded in recent years. He'll outline the current database landscape, and provide insights about which kinds of technologies are suitable for the growing variety of business needs today. He'll also focus on key auxiliary technologies that enable modern databases to do perform efficiently.]]>

Database is the new black. Ever the backbone of information architectures, database technology continually evolves to meet growing and changing business needs. New types of data and applications make the database more important than ever, and understanding which technology best serves your use case is paramount to building durable systems. These days, the choices are many, so users should be careful when deciding which direction to go. Register for this Exploratory Webcast to hear veteran database Analyst Dr. Robin Bloor explain why the database market has exploded in recent years. He'll outline the current database landscape, and provide insights about which kinds of technologies are suitable for the growing variety of business needs today. He'll also focus on key auxiliary technologies that enable modern databases to do perform efficiently.]]>
Wed, 24 May 2017 20:32:20 GMT /slideshow/database-survival-guide-exploratory-webcast/76317153 EricGKavanagh@slideshare.net(EricGKavanagh) Database Survival Guide: Exploratory Webcast EricGKavanagh Database is the new black. Ever the backbone of information architectures, database technology continually evolves to meet growing and changing business needs. New types of data and applications make the database more important than ever, and understanding which technology best serves your use case is paramount to building durable systems. These days, the choices are many, so users should be careful when deciding which direction to go. Register for this Exploratory Webcast to hear veteran database Analyst Dr. Robin Bloor explain why the database market has exploded in recent years. He'll outline the current database landscape, and provide insights about which kinds of technologies are suitable for the growing variety of business needs today. He'll also focus on key auxiliary technologies that enable modern databases to do perform efficiently. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/databasesg-rb-intro2-170524203220-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Database is the new black. Ever the backbone of information architectures, database technology continually evolves to meet growing and changing business needs. New types of data and applications make the database more important than ever, and understanding which technology best serves your use case is paramount to building durable systems. These days, the choices are many, so users should be careful when deciding which direction to go. Register for this Exploratory Webcast to hear veteran database Analyst Dr. Robin Bloor explain why the database market has exploded in recent years. He&#39;ll outline the current database landscape, and provide insights about which kinds of technologies are suitable for the growing variety of business needs today. He&#39;ll also focus on key auxiliary technologies that enable modern databases to do perform efficiently.
Database Survival Guide: Exploratory Webcast from Eric Kavanagh
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Better to Ask Permission? Best Practices for Privacy and Security /EricGKavanagh/better-to-ask-permission-best-practices-for-privacy-and-security hottechidera5-10-17-170510194514
Hot Technologies with The Bloor Group and IDERA If security was once a nice-to-have, those days have long gone. Between data breaches and privacy regulations, organizations today face immense pressure to protect their systems and their sensitive data. When giants like Yahoo! and Target can get hacked, so can any other company. What can you do about it? How can you protect your company and clients? Register for this episode of Hot Technologies to hear Analysts Eric Kavanagh and Dr. Robin Bloor provide insights about the many ways that companies can buttress their defenses and stay ahead of the bad guys. They'll be briefed by Vicky Harp of IDERA who will demonstrate how to identify vulnerabilities, track sensitive data, successfully pass audits, and protect your SQL Server databases. ]]>

Hot Technologies with The Bloor Group and IDERA If security was once a nice-to-have, those days have long gone. Between data breaches and privacy regulations, organizations today face immense pressure to protect their systems and their sensitive data. When giants like Yahoo! and Target can get hacked, so can any other company. What can you do about it? How can you protect your company and clients? Register for this episode of Hot Technologies to hear Analysts Eric Kavanagh and Dr. Robin Bloor provide insights about the many ways that companies can buttress their defenses and stay ahead of the bad guys. They'll be briefed by Vicky Harp of IDERA who will demonstrate how to identify vulnerabilities, track sensitive data, successfully pass audits, and protect your SQL Server databases. ]]>
Wed, 10 May 2017 19:45:14 GMT /EricGKavanagh/better-to-ask-permission-best-practices-for-privacy-and-security EricGKavanagh@slideshare.net(EricGKavanagh) Better to Ask Permission? Best Practices for Privacy and Security EricGKavanagh Hot Technologies with The Bloor Group and IDERA If security was once a nice-to-have, those days have long gone. Between data breaches and privacy regulations, organizations today face immense pressure to protect their systems and their sensitive data. When giants like Yahoo! and Target can get hacked, so can any other company. What can you do about it? How can you protect your company and clients? Register for this episode of Hot Technologies to hear Analysts Eric Kavanagh and Dr. Robin Bloor provide insights about the many ways that companies can buttress their defenses and stay ahead of the bad guys. They'll be briefed by Vicky Harp of IDERA who will demonstrate how to identify vulnerabilities, track sensitive data, successfully pass audits, and protect your SQL Server databases. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottechidera5-10-17-170510194514-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hot Technologies with The Bloor Group and IDERA If security was once a nice-to-have, those days have long gone. Between data breaches and privacy regulations, organizations today face immense pressure to protect their systems and their sensitive data. When giants like Yahoo! and Target can get hacked, so can any other company. What can you do about it? How can you protect your company and clients? Register for this episode of Hot Technologies to hear Analysts Eric Kavanagh and Dr. Robin Bloor provide insights about the many ways that companies can buttress their defenses and stay ahead of the bad guys. They&#39;ll be briefed by Vicky Harp of IDERA who will demonstrate how to identify vulnerabilities, track sensitive data, successfully pass audits, and protect your SQL Server databases.
Better to Ask Permission? Best Practices for Privacy and Security from Eric Kavanagh
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The Model Enterprise: A Blueprint for Enterprise Data Governance /slideshow/the-model-enterprise-a-blueprint-for-enterprise-data-governance/75615250 briefingroomidera-05-02-2017-170502201554
What gets measured, gets managed; but what gets governed, generates real value. That's one major reason why data governance has risen to a top priority for most organizations. Another reason is the rapid onboarding of big data, which often comes from beyond the traditional firewall. And then there are the authorities: issues like privacy, security and fiduciary responsibility are combining to make data governance a must-have. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why governance should be viewed as a positive change agent for the modern enterprise. He'll be briefed by Ron Huizenga of IDERA, who will discuss a practical, model-based approach to enterprise data governance, with a focus on Master Data Management.]]>

What gets measured, gets managed; but what gets governed, generates real value. That's one major reason why data governance has risen to a top priority for most organizations. Another reason is the rapid onboarding of big data, which often comes from beyond the traditional firewall. And then there are the authorities: issues like privacy, security and fiduciary responsibility are combining to make data governance a must-have. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why governance should be viewed as a positive change agent for the modern enterprise. He'll be briefed by Ron Huizenga of IDERA, who will discuss a practical, model-based approach to enterprise data governance, with a focus on Master Data Management.]]>
Tue, 02 May 2017 20:15:54 GMT /slideshow/the-model-enterprise-a-blueprint-for-enterprise-data-governance/75615250 EricGKavanagh@slideshare.net(EricGKavanagh) The Model Enterprise: A Blueprint for Enterprise Data Governance EricGKavanagh What gets measured, gets managed; but what gets governed, generates real value. That's one major reason why data governance has risen to a top priority for most organizations. Another reason is the rapid onboarding of big data, which often comes from beyond the traditional firewall. And then there are the authorities: issues like privacy, security and fiduciary responsibility are combining to make data governance a must-have. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why governance should be viewed as a positive change agent for the modern enterprise. He'll be briefed by Ron Huizenga of IDERA, who will discuss a practical, model-based approach to enterprise data governance, with a focus on Master Data Management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/briefingroomidera-05-02-2017-170502201554-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> What gets measured, gets managed; but what gets governed, generates real value. That&#39;s one major reason why data governance has risen to a top priority for most organizations. Another reason is the rapid onboarding of big data, which often comes from beyond the traditional firewall. And then there are the authorities: issues like privacy, security and fiduciary responsibility are combining to make data governance a must-have. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why governance should be viewed as a positive change agent for the modern enterprise. He&#39;ll be briefed by Ron Huizenga of IDERA, who will discuss a practical, model-based approach to enterprise data governance, with a focus on Master Data Management.
The Model Enterprise: A Blueprint for Enterprise Data Governance from Eric Kavanagh
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Best Laid Plans: Saving Time, Money and Trouble with Optimal Forecasting /slideshow/best-laid-plans-saving-time-money-and-trouble-with-optimal-forecasting/75194831 hottechideraforecasts-170419210040
Expectations have changed. That's true for users, executives and customers alike. There's no time for systems running slowly, or cost overruns. That's why fundamentals like capacity planning have become mission-critical. By paying attention to the details, and doing effective forecasts, companies can optimize their information architecture, keeping everyone happy. Register for this episode of Hot Technologies to learn from veteran Analysts Dr. Robin Bloor and Rick Sherman who will offer insights about how and why to do capacity planning. They'll be briefed by Bullett Manale of IDERA, who will explain how his company's SQL Diagnostic Manager can track a wide range of usages metrics which can be used for accurate forecasting.]]>

Expectations have changed. That's true for users, executives and customers alike. There's no time for systems running slowly, or cost overruns. That's why fundamentals like capacity planning have become mission-critical. By paying attention to the details, and doing effective forecasts, companies can optimize their information architecture, keeping everyone happy. Register for this episode of Hot Technologies to learn from veteran Analysts Dr. Robin Bloor and Rick Sherman who will offer insights about how and why to do capacity planning. They'll be briefed by Bullett Manale of IDERA, who will explain how his company's SQL Diagnostic Manager can track a wide range of usages metrics which can be used for accurate forecasting.]]>
Wed, 19 Apr 2017 21:00:40 GMT /slideshow/best-laid-plans-saving-time-money-and-trouble-with-optimal-forecasting/75194831 EricGKavanagh@slideshare.net(EricGKavanagh) Best Laid Plans: Saving Time, Money and Trouble with Optimal Forecasting EricGKavanagh Expectations have changed. That's true for users, executives and customers alike. There's no time for systems running slowly, or cost overruns. That's why fundamentals like capacity planning have become mission-critical. By paying attention to the details, and doing effective forecasts, companies can optimize their information architecture, keeping everyone happy. Register for this episode of Hot Technologies to learn from veteran Analysts Dr. Robin Bloor and Rick Sherman who will offer insights about how and why to do capacity planning. They'll be briefed by Bullett Manale of IDERA, who will explain how his company's SQL Diagnostic Manager can track a wide range of usages metrics which can be used for accurate forecasting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottechideraforecasts-170419210040-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Expectations have changed. That&#39;s true for users, executives and customers alike. There&#39;s no time for systems running slowly, or cost overruns. That&#39;s why fundamentals like capacity planning have become mission-critical. By paying attention to the details, and doing effective forecasts, companies can optimize their information architecture, keeping everyone happy. Register for this episode of Hot Technologies to learn from veteran Analysts Dr. Robin Bloor and Rick Sherman who will offer insights about how and why to do capacity planning. They&#39;ll be briefed by Bullett Manale of IDERA, who will explain how his company&#39;s SQL Diagnostic Manager can track a wide range of usages metrics which can be used for accurate forecasting.
Best Laid Plans: Saving Time, Money and Trouble with Optimal Forecasting from Eric Kavanagh
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A Winning Strategy for the Digital Economy /EricGKavanagh/a-winning-strategy-for-the-digital-economy specialeditionsap-170418174200
The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today's data platforms enable the modern enterprise in groundbreaking ways. He'll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate. ]]>

The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today's data platforms enable the modern enterprise in groundbreaking ways. He'll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate. ]]>
Tue, 18 Apr 2017 17:42:00 GMT /EricGKavanagh/a-winning-strategy-for-the-digital-economy EricGKavanagh@slideshare.net(EricGKavanagh) A Winning Strategy for the Digital Economy EricGKavanagh The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today's data platforms enable the modern enterprise in groundbreaking ways. He'll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/specialeditionsap-170418174200-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today&#39;s data platforms enable the modern enterprise in groundbreaking ways. He&#39;ll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate.
A Winning Strategy for the Digital Economy from Eric Kavanagh
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Discovering Big Data in the Fog: Why Catalogs Matter /slideshow/discovering-big-data-in-the-fog-why-catalogs-matter/74910578 briefingroomwaterlinedata-170411201812
The Briefing Room with Dr. Robin Bloor and Waterline Data Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.]]>

The Briefing Room with Dr. Robin Bloor and Waterline Data Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.]]>
Tue, 11 Apr 2017 20:18:12 GMT /slideshow/discovering-big-data-in-the-fog-why-catalogs-matter/74910578 EricGKavanagh@slideshare.net(EricGKavanagh) Discovering Big Data in the Fog: Why Catalogs Matter EricGKavanagh The Briefing Room with Dr. Robin Bloor and Waterline Data Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/briefingroomwaterlinedata-170411201812-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Briefing Room with Dr. Robin Bloor and Waterline Data Good enterprise data can drive positive business outcomes. But if that data isn’t organized and accessible, information workers are left with an incomplete picture. Knowing the location, lineage and permissions of data across the enterprise can lead to more accurate and insightful searches, and ultimately, knowledge discovery. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how the success of big data projects relies on understanding your data. He’ll be briefed by Todd Goldman and Mohan Sadashiva of Waterline Data, who will explain how their solution can facilitate discovery via automation and crowd sourcing. They’ll demonstrate how combining the value of tribal knowledge with rationalized data can enable self-service analytics, improve data governance, and reduce data redundancy.
Discovering Big Data in the Fog: Why Catalogs Matter from Eric Kavanagh
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Health Check: Maintaining Enterprise BI /slideshow/health-check-maintaining-enterprise-bi/73907185 hottech-3-29-17-idera-final-170329203743
Hot Technologies with The Bloor Group and IDERA Most companies realize the value of business intelligence. Advanced analytics, data mining, dashboards – all surface useful insights. With so many moving parts in play, it’s crucial to provide visibility across the entire BI environment, thus delivering solid system and service performance. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Eric Kavanagh as they discuss why operational and strategic business intelligence are the cornerstones of any organization. They’ll be briefed by Stan Geiger of IDERA, who will showcase his company’s SQL BI Manager, and end-to-end solution designed to provide a single view into numerous running processes. He will explain that by optimizing system health and availability, users can eliminate downtime and improve efficiency.]]>

Hot Technologies with The Bloor Group and IDERA Most companies realize the value of business intelligence. Advanced analytics, data mining, dashboards – all surface useful insights. With so many moving parts in play, it’s crucial to provide visibility across the entire BI environment, thus delivering solid system and service performance. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Eric Kavanagh as they discuss why operational and strategic business intelligence are the cornerstones of any organization. They’ll be briefed by Stan Geiger of IDERA, who will showcase his company’s SQL BI Manager, and end-to-end solution designed to provide a single view into numerous running processes. He will explain that by optimizing system health and availability, users can eliminate downtime and improve efficiency.]]>
Wed, 29 Mar 2017 20:37:43 GMT /slideshow/health-check-maintaining-enterprise-bi/73907185 EricGKavanagh@slideshare.net(EricGKavanagh) Health Check: Maintaining Enterprise BI EricGKavanagh Hot Technologies with The Bloor Group and IDERA Most companies realize the value of business intelligence. Advanced analytics, data mining, dashboards – all surface useful insights. With so many moving parts in play, it’s crucial to provide visibility across the entire BI environment, thus delivering solid system and service performance. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Eric Kavanagh as they discuss why operational and strategic business intelligence are the cornerstones of any organization. They’ll be briefed by Stan Geiger of IDERA, who will showcase his company’s SQL BI Manager, and end-to-end solution designed to provide a single view into numerous running processes. He will explain that by optimizing system health and availability, users can eliminate downtime and improve efficiency. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottech-3-29-17-idera-final-170329203743-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hot Technologies with The Bloor Group and IDERA Most companies realize the value of business intelligence. Advanced analytics, data mining, dashboards – all surface useful insights. With so many moving parts in play, it’s crucial to provide visibility across the entire BI environment, thus delivering solid system and service performance. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Eric Kavanagh as they discuss why operational and strategic business intelligence are the cornerstones of any organization. They’ll be briefed by Stan Geiger of IDERA, who will showcase his company’s SQL BI Manager, and end-to-end solution designed to provide a single view into numerous running processes. He will explain that by optimizing system health and availability, users can eliminate downtime and improve efficiency.
Health Check: Maintaining Enterprise BI from Eric Kavanagh
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Rapid Response: Debugging and Profiling to the Rescue /slideshow/rapid-response-debugging-and-profiling-to-the-rescue/73188763 hottech-3-15-17-idera-170315204617
Bad code happens. And when it does, developers often spend far too much time trying to find and fix the error. Debugging is a common solution, but in a complex environment, running multiple applications on multiple platforms, it can be easier said than done. Developers need instant visibility across all machines, ultimately leading to faster and higher quality insights. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss how errant code can inevitably disrupt systems and performance. They’ll be briefed by Bert Scalzo of IDERA, who will explain how his company’s Rapid SQL can facilitate the debugging and profiling of stored procedures and functions.]]>

Bad code happens. And when it does, developers often spend far too much time trying to find and fix the error. Debugging is a common solution, but in a complex environment, running multiple applications on multiple platforms, it can be easier said than done. Developers need instant visibility across all machines, ultimately leading to faster and higher quality insights. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss how errant code can inevitably disrupt systems and performance. They’ll be briefed by Bert Scalzo of IDERA, who will explain how his company’s Rapid SQL can facilitate the debugging and profiling of stored procedures and functions.]]>
Wed, 15 Mar 2017 20:46:17 GMT /slideshow/rapid-response-debugging-and-profiling-to-the-rescue/73188763 EricGKavanagh@slideshare.net(EricGKavanagh) Rapid Response: Debugging and Profiling to the Rescue EricGKavanagh Bad code happens. And when it does, developers often spend far too much time trying to find and fix the error. Debugging is a common solution, but in a complex environment, running multiple applications on multiple platforms, it can be easier said than done. Developers need instant visibility across all machines, ultimately leading to faster and higher quality insights. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss how errant code can inevitably disrupt systems and performance. They’ll be briefed by Bert Scalzo of IDERA, who will explain how his company’s Rapid SQL can facilitate the debugging and profiling of stored procedures and functions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottech-3-15-17-idera-170315204617-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Bad code happens. And when it does, developers often spend far too much time trying to find and fix the error. Debugging is a common solution, but in a complex environment, running multiple applications on multiple platforms, it can be easier said than done. Developers need instant visibility across all machines, ultimately leading to faster and higher quality insights. Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss how errant code can inevitably disrupt systems and performance. They’ll be briefed by Bert Scalzo of IDERA, who will explain how his company’s Rapid SQL can facilitate the debugging and profiling of stored procedures and functions.
Rapid Response: Debugging and Profiling to the Rescue from Eric Kavanagh
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Solving the Really Big Tech Problems with IoT /slideshow/solving-the-really-big-tech-problems-with-iot/71116836 br-01-17-2017-hpefinal-170117202112
The Briefing Room with Dr. Robin Bloor and HPE Security The Internet of Things brings new technological problems: sensor communications are bi-directional, the scale of data generation points has no precedent and, in this new world, security, privacy and data protection need to go out to the edge. Likely, most of that data lands in Hadoop and Big Data platforms. With the need for rapid analytics never greater, companies try to seize opportunities in tighter time windows. Yet, cyber-threats are at an all-time high, targeting the most valuable of assets—the data. Register for this episode of The Briefing Room to hear Analyst Dr. Robin Bloor explain the implications of today's divergent data forces. He’ll be briefed by Reiner Kappenberger of HPE, who will discuss how a recent innovation -- NiFi -- is revolutionizing the big data ecosystem. He’ll explain how this technology dramatically simplifies data flow design, enabling a new era of business-driven analysis, while also protecting sensitive data. ]]>

The Briefing Room with Dr. Robin Bloor and HPE Security The Internet of Things brings new technological problems: sensor communications are bi-directional, the scale of data generation points has no precedent and, in this new world, security, privacy and data protection need to go out to the edge. Likely, most of that data lands in Hadoop and Big Data platforms. With the need for rapid analytics never greater, companies try to seize opportunities in tighter time windows. Yet, cyber-threats are at an all-time high, targeting the most valuable of assets—the data. Register for this episode of The Briefing Room to hear Analyst Dr. Robin Bloor explain the implications of today's divergent data forces. He’ll be briefed by Reiner Kappenberger of HPE, who will discuss how a recent innovation -- NiFi -- is revolutionizing the big data ecosystem. He’ll explain how this technology dramatically simplifies data flow design, enabling a new era of business-driven analysis, while also protecting sensitive data. ]]>
Tue, 17 Jan 2017 20:21:12 GMT /slideshow/solving-the-really-big-tech-problems-with-iot/71116836 EricGKavanagh@slideshare.net(EricGKavanagh) Solving the Really Big Tech Problems with IoT EricGKavanagh The Briefing Room with Dr. Robin Bloor and HPE Security The Internet of Things brings new technological problems: sensor communications are bi-directional, the scale of data generation points has no precedent and, in this new world, security, privacy and data protection need to go out to the edge. Likely, most of that data lands in Hadoop and Big Data platforms. With the need for rapid analytics never greater, companies try to seize opportunities in tighter time windows. Yet, cyber-threats are at an all-time high, targeting the most valuable of assets—the data. Register for this episode of The Briefing Room to hear Analyst Dr. Robin Bloor explain the implications of today's divergent data forces. He’ll be briefed by Reiner Kappenberger of HPE, who will discuss how a recent innovation -- NiFi -- is revolutionizing the big data ecosystem. He’ll explain how this technology dramatically simplifies data flow design, enabling a new era of business-driven analysis, while also protecting sensitive data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/br-01-17-2017-hpefinal-170117202112-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Briefing Room with Dr. Robin Bloor and HPE Security The Internet of Things brings new technological problems: sensor communications are bi-directional, the scale of data generation points has no precedent and, in this new world, security, privacy and data protection need to go out to the edge. Likely, most of that data lands in Hadoop and Big Data platforms. With the need for rapid analytics never greater, companies try to seize opportunities in tighter time windows. Yet, cyber-threats are at an all-time high, targeting the most valuable of assets—the data. Register for this episode of The Briefing Room to hear Analyst Dr. Robin Bloor explain the implications of today&#39;s divergent data forces. He’ll be briefed by Reiner Kappenberger of HPE, who will discuss how a recent innovation -- NiFi -- is revolutionizing the big data ecosystem. He’ll explain how this technology dramatically simplifies data flow design, enabling a new era of business-driven analysis, while also protecting sensitive data.
Solving the Really Big Tech Problems with IoT from Eric Kavanagh
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Beyond the Platform: Enabling Fluid Analysis /EricGKavanagh/beyond-the-platform-enabling-fluid-analysis br01-10-2017-idera-170110205307
When the analysts aren’t happy, no one is happy. That’s because these days, practically every aspect of the business is driven by insights. And because information architectures are increasingly complex, any number of issues can cause a slowdown in queries, or even basic reporting. How can your organization ensure that all systems are go? Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains the common roadblocks to successful BI and analytics. He'll be briefed by Stan Geiger of IDERA, who previously demonstrated how his company’s SQL BI Manager can optimize platform health and performance. In this episode, he will dive deeper into how IDERA’s solution resolves resource constraints, user activity and capacity issues, making tiresome troubleshooting a thing of the past. ]]>

When the analysts aren’t happy, no one is happy. That’s because these days, practically every aspect of the business is driven by insights. And because information architectures are increasingly complex, any number of issues can cause a slowdown in queries, or even basic reporting. How can your organization ensure that all systems are go? Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains the common roadblocks to successful BI and analytics. He'll be briefed by Stan Geiger of IDERA, who previously demonstrated how his company’s SQL BI Manager can optimize platform health and performance. In this episode, he will dive deeper into how IDERA’s solution resolves resource constraints, user activity and capacity issues, making tiresome troubleshooting a thing of the past. ]]>
Tue, 10 Jan 2017 20:53:07 GMT /EricGKavanagh/beyond-the-platform-enabling-fluid-analysis EricGKavanagh@slideshare.net(EricGKavanagh) Beyond the Platform: Enabling Fluid Analysis EricGKavanagh When the analysts aren’t happy, no one is happy. That’s because these days, practically every aspect of the business is driven by insights. And because information architectures are increasingly complex, any number of issues can cause a slowdown in queries, or even basic reporting. How can your organization ensure that all systems are go? Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains the common roadblocks to successful BI and analytics. He'll be briefed by Stan Geiger of IDERA, who previously demonstrated how his company’s SQL BI Manager can optimize platform health and performance. In this episode, he will dive deeper into how IDERA’s solution resolves resource constraints, user activity and capacity issues, making tiresome troubleshooting a thing of the past. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/br01-10-2017-idera-170110205307-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> When the analysts aren’t happy, no one is happy. That’s because these days, practically every aspect of the business is driven by insights. And because information architectures are increasingly complex, any number of issues can cause a slowdown in queries, or even basic reporting. How can your organization ensure that all systems are go? Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains the common roadblocks to successful BI and analytics. He&#39;ll be briefed by Stan Geiger of IDERA, who previously demonstrated how his company’s SQL BI Manager can optimize platform health and performance. In this episode, he will dive deeper into how IDERA’s solution resolves resource constraints, user activity and capacity issues, making tiresome troubleshooting a thing of the past.
Beyond the Platform: Enabling Fluid Analysis from Eric Kavanagh
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Protect Your Database: High Availability for High Demand Data /slideshow/protect-your-database-high-availability-for-high-demand-data/69931408 hottech-12-07-16-idera-161207214838
Hot Technologies with Dr. Robin Bloor, Dez Blanchfield and IDERA Your company’s data is mission-critical. While protecting it from outside attack or catastrophe has become a standard business requirement, it’s not enough these days to rely solely on simple backup and recovery techniques. Today’s enterprise requires high availability and uninterrupted operational performance, meaning the DBA toolbox must provide more than traditional solutions. Register for this episode of Hot Technologies to hear from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss the necessary components of a modern solution architecture. They’ll be briefed by IDERA’s Oracle ACE Bert Scalzo, who will explain some innovative options for ensuring high availability in a demanding database environment.]]>

Hot Technologies with Dr. Robin Bloor, Dez Blanchfield and IDERA Your company’s data is mission-critical. While protecting it from outside attack or catastrophe has become a standard business requirement, it’s not enough these days to rely solely on simple backup and recovery techniques. Today’s enterprise requires high availability and uninterrupted operational performance, meaning the DBA toolbox must provide more than traditional solutions. Register for this episode of Hot Technologies to hear from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss the necessary components of a modern solution architecture. They’ll be briefed by IDERA’s Oracle ACE Bert Scalzo, who will explain some innovative options for ensuring high availability in a demanding database environment.]]>
Wed, 07 Dec 2016 21:48:38 GMT /slideshow/protect-your-database-high-availability-for-high-demand-data/69931408 EricGKavanagh@slideshare.net(EricGKavanagh) Protect Your Database: High Availability for High Demand Data EricGKavanagh Hot Technologies with Dr. Robin Bloor, Dez Blanchfield and IDERA Your company’s data is mission-critical. While protecting it from outside attack or catastrophe has become a standard business requirement, it’s not enough these days to rely solely on simple backup and recovery techniques. Today’s enterprise requires high availability and uninterrupted operational performance, meaning the DBA toolbox must provide more than traditional solutions. Register for this episode of Hot Technologies to hear from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss the necessary components of a modern solution architecture. They’ll be briefed by IDERA’s Oracle ACE Bert Scalzo, who will explain some innovative options for ensuring high availability in a demanding database environment. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottech-12-07-16-idera-161207214838-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hot Technologies with Dr. Robin Bloor, Dez Blanchfield and IDERA Your company’s data is mission-critical. While protecting it from outside attack or catastrophe has become a standard business requirement, it’s not enough these days to rely solely on simple backup and recovery techniques. Today’s enterprise requires high availability and uninterrupted operational performance, meaning the DBA toolbox must provide more than traditional solutions. Register for this episode of Hot Technologies to hear from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss the necessary components of a modern solution architecture. They’ll be briefed by IDERA’s Oracle ACE Bert Scalzo, who will explain some innovative options for ensuring high availability in a demanding database environment.
Protect Your Database: High Availability for High Demand Data from Eric Kavanagh
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A Better Understanding: Solving Business Challenges with Data /slideshow/a-better-understanding-solving-business-challenges-with-data/69890425 br12-06-2016-experian-161206211323
Good decisions make great companies. That's why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He'll be briefed by Rishi Patel and Erin Haselkorn of The Briefing Room with Dr. Robin Bloor and Experian Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They'll explain how Pandora can help professionals build a business case for their ideas and plans. ]]>

Good decisions make great companies. That's why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He'll be briefed by Rishi Patel and Erin Haselkorn of The Briefing Room with Dr. Robin Bloor and Experian Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They'll explain how Pandora can help professionals build a business case for their ideas and plans. ]]>
Tue, 06 Dec 2016 21:13:23 GMT /slideshow/a-better-understanding-solving-business-challenges-with-data/69890425 EricGKavanagh@slideshare.net(EricGKavanagh) A Better Understanding: Solving Business Challenges with Data EricGKavanagh Good decisions make great companies. That's why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He'll be briefed by Rishi Patel and Erin Haselkorn of The Briefing Room with Dr. Robin Bloor and Experian Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They'll explain how Pandora can help professionals build a business case for their ideas and plans. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/br12-06-2016-experian-161206211323-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Good decisions make great companies. That&#39;s why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He&#39;ll be briefed by Rishi Patel and Erin Haselkorn of The Briefing Room with Dr. Robin Bloor and Experian Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They&#39;ll explain how Pandora can help professionals build a business case for their ideas and plans.
A Better Understanding: Solving Business Challenges with Data from Eric Kavanagh
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The Key to Effective Analytics: Fast-Returning Queries /EricGKavanagh/the-key-to-effective-analytics-fastreturning-queries hottech-11-30-16-iderafinal-161130212741
The best business analysts understand the value of having a "conversation" with their data. The idea is that they can pose queries, examine results, then quickly modify their questions to home in on a desired answer. This kind of iterative process creates a fluid environment that is highly conducive for identifying meaningful patterns in data. Register for this episode of Hot Technologies to hear Bloor Group Chief Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they outline why fluid analytics should be the norm and which hurdles still stand in the way. They'll be briefed by Bullett Manale of IDERA who will demonstrate his company's diagnostic platform for analytics. He'll provide context, and also deliver a demo that shows real-world solutions that enable iterative analytics.]]>

The best business analysts understand the value of having a "conversation" with their data. The idea is that they can pose queries, examine results, then quickly modify their questions to home in on a desired answer. This kind of iterative process creates a fluid environment that is highly conducive for identifying meaningful patterns in data. Register for this episode of Hot Technologies to hear Bloor Group Chief Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they outline why fluid analytics should be the norm and which hurdles still stand in the way. They'll be briefed by Bullett Manale of IDERA who will demonstrate his company's diagnostic platform for analytics. He'll provide context, and also deliver a demo that shows real-world solutions that enable iterative analytics.]]>
Wed, 30 Nov 2016 21:27:41 GMT /EricGKavanagh/the-key-to-effective-analytics-fastreturning-queries EricGKavanagh@slideshare.net(EricGKavanagh) The Key to Effective Analytics: Fast-Returning Queries EricGKavanagh The best business analysts understand the value of having a "conversation" with their data. The idea is that they can pose queries, examine results, then quickly modify their questions to home in on a desired answer. This kind of iterative process creates a fluid environment that is highly conducive for identifying meaningful patterns in data. Register for this episode of Hot Technologies to hear Bloor Group Chief Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they outline why fluid analytics should be the norm and which hurdles still stand in the way. They'll be briefed by Bullett Manale of IDERA who will demonstrate his company's diagnostic platform for analytics. He'll provide context, and also deliver a demo that shows real-world solutions that enable iterative analytics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hottech-11-30-16-iderafinal-161130212741-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The best business analysts understand the value of having a &quot;conversation&quot; with their data. The idea is that they can pose queries, examine results, then quickly modify their questions to home in on a desired answer. This kind of iterative process creates a fluid environment that is highly conducive for identifying meaningful patterns in data. Register for this episode of Hot Technologies to hear Bloor Group Chief Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they outline why fluid analytics should be the norm and which hurdles still stand in the way. They&#39;ll be briefed by Bullett Manale of IDERA who will demonstrate his company&#39;s diagnostic platform for analytics. He&#39;ll provide context, and also deliver a demo that shows real-world solutions that enable iterative analytics.
The Key to Effective Analytics: Fast-Returning Queries from Eric Kavanagh
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A Tight Ship: How Containers and SDS Optimize the Enterprise /EricGKavanagh/a-tight-ship-how-containers-and-sds-optimize-the-enterprise br11-15-2016-redhatfinal-161115211412
The Briefing Room with Dez Blanchfield and Red Hat Think of containers as the drones of modern computing. They're small, agile, and can carry a significant payload. In many ways, they represent the fruition of the last two major paradigm shifts in enterprise software: SOA and virtualization. However, for companies to fully leverage this innovative approach, a persistent storage platform is needed that is as flexible and scalable as containers themselves. Register for this episode of The Briefing Room to hear Bloor Group Data Scientist Dez Blanchfield, who will explain the significance of container technology, and the relevance of software-defined storage (SDS) in a constantly evolving IT world. He'll be briefed by Steve Watt and Sayan Saha of Red Hat, who will demonstrate how open-source technology can help organizations take advantage of this brave new world of enterprise computing. They will explain how containers are the next step in the evolution of the operating system, and why SDS is now the optimal solution. ]]>

The Briefing Room with Dez Blanchfield and Red Hat Think of containers as the drones of modern computing. They're small, agile, and can carry a significant payload. In many ways, they represent the fruition of the last two major paradigm shifts in enterprise software: SOA and virtualization. However, for companies to fully leverage this innovative approach, a persistent storage platform is needed that is as flexible and scalable as containers themselves. Register for this episode of The Briefing Room to hear Bloor Group Data Scientist Dez Blanchfield, who will explain the significance of container technology, and the relevance of software-defined storage (SDS) in a constantly evolving IT world. He'll be briefed by Steve Watt and Sayan Saha of Red Hat, who will demonstrate how open-source technology can help organizations take advantage of this brave new world of enterprise computing. They will explain how containers are the next step in the evolution of the operating system, and why SDS is now the optimal solution. ]]>
Tue, 15 Nov 2016 21:14:12 GMT /EricGKavanagh/a-tight-ship-how-containers-and-sds-optimize-the-enterprise EricGKavanagh@slideshare.net(EricGKavanagh) A Tight Ship: How Containers and SDS Optimize the Enterprise EricGKavanagh The Briefing Room with Dez Blanchfield and Red Hat Think of containers as the drones of modern computing. They're small, agile, and can carry a significant payload. In many ways, they represent the fruition of the last two major paradigm shifts in enterprise software: SOA and virtualization. However, for companies to fully leverage this innovative approach, a persistent storage platform is needed that is as flexible and scalable as containers themselves. Register for this episode of The Briefing Room to hear Bloor Group Data Scientist Dez Blanchfield, who will explain the significance of container technology, and the relevance of software-defined storage (SDS) in a constantly evolving IT world. He'll be briefed by Steve Watt and Sayan Saha of Red Hat, who will demonstrate how open-source technology can help organizations take advantage of this brave new world of enterprise computing. They will explain how containers are the next step in the evolution of the operating system, and why SDS is now the optimal solution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/br11-15-2016-redhatfinal-161115211412-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Briefing Room with Dez Blanchfield and Red Hat Think of containers as the drones of modern computing. They&#39;re small, agile, and can carry a significant payload. In many ways, they represent the fruition of the last two major paradigm shifts in enterprise software: SOA and virtualization. However, for companies to fully leverage this innovative approach, a persistent storage platform is needed that is as flexible and scalable as containers themselves. Register for this episode of The Briefing Room to hear Bloor Group Data Scientist Dez Blanchfield, who will explain the significance of container technology, and the relevance of software-defined storage (SDS) in a constantly evolving IT world. He&#39;ll be briefed by Steve Watt and Sayan Saha of Red Hat, who will demonstrate how open-source technology can help organizations take advantage of this brave new world of enterprise computing. They will explain how containers are the next step in the evolution of the operating system, and why SDS is now the optimal solution.
A Tight Ship: How Containers and SDS Optimize the Enterprise from Eric Kavanagh
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https://cdn.slidesharecdn.com/profile-photo-EricGKavanagh-48x48.jpg?cb=1598372055 Career media professional who designs and manages an array of Web-based research and media products, including: Information Management's DM Radio, GARP's Leadership Webcasts, The Briefing Room, Federal Spending, and Virtual Vendor Visits for the US Air Force. Recognized as a luminary in the field of Big Data. Recognized by Techopedia and Big Data Republic as one of the top experts to follow on Twitter: Techopedia: http://www.techopedia.com/2/28887/trends/big-data/big-data-who-to-follow-on-twitter Big Data Republic: #7 on the Peer Index Big Data Top 10 http://www.bigdatarepublic.com/author.asp?section_id=2642&doc_id=262105& Specialties: Media, Strategy, Marketing, Writing, Speaking, Ph... http://www.info-mgmt.com/dmradio https://cdn.slidesharecdn.com/ss_thumbnails/updated6-4egbgwebinar-thefutureofdatawarehousinganddataintegration-190604205117-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-future-of-data-warehousing-and-data-integration/148876417 The Future of Data War... https://cdn.slidesharecdn.com/ss_thumbnails/tamrdataopswebcast1-190508223128-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/best-practices-in-dataops-how-to-create-agile-automated-data-pipelines/144477675 Best Practices in Data... https://cdn.slidesharecdn.com/ss_thumbnails/3-12-briefingroom-expeditingthepathtodiscoverywithmulti-sourceanalysis-190312225805-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/expediting-the-path-to-discovery-with-multisource-analysis/135974823 Expediting the Path to...