際際滷shows by User: DavidPortnoy / http://www.slideshare.net/images/logo.gif 際際滷shows by User: DavidPortnoy / Tue, 12 Jul 2016 11:32:19 GMT 際際滷Share feed for 際際滷shows by User: DavidPortnoy DDOD framework infographic /slideshow/ddod-framework-infographic/63945587 ddodframeworkinfographic-160712113219
Applying the Lean Startup approach to data management Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS) Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as Lean Startup for open data. Its a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. Well also cover how a Lean Startup approach to data management is applicable to industry as well. This infographic demonstrates the accomplishments of the DDOD program within the pilot for the U.S. Department of Health and Human Services (HHS).]]>
Applying the Lean Startup approach to data management Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS) Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as Lean Startup for open data. Its a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. Well also cover how a Lean Startup approach to data management is applicable to industry as well. This infographic demonstrates the accomplishments of the DDOD program within the pilot for the U.S. Department of Health and Human Services (HHS).]]> Tue, 12 Jul 2016 11:32:19 GMT /slideshow/ddod-framework-infographic/63945587 DavidPortnoy@slideshare.net(DavidPortnoy) DDOD framework infographic DavidPortnoy Applying the Lean Startup approach to data management Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS) Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as Lean Startup for open data. Its a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. Well also cover how a Lean Startup approach to data management is applicable to industry as well. This infographic demonstrates the accomplishments of the DDOD program within the pilot for the U.S. Department of Health and Human Services (HHS). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddodframeworkinfographic-160712113219-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Applying the Lean Startup approach to data management Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS) Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as Lean Startup for open data. Its a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. Well also cover how a Lean Startup approach to data management is applicable to industry as well. This infographic demonstrates the accomplishments of the DDOD program within the pilot for the U.S. Department of Health and Human Services (HHS).
DDOD framework infographic from David Portnoy
]]> 385 3 https://cdn.slidesharecdn.com/ss_thumbnails/ddodframeworkinfographic-160712113219-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Impact of DDOD on Data Quality - White House 2016 /slideshow/impact-of-ddod-on-data-quality-white-house-2016/61473005 impactofddodondataquality-whitehouse4272016-160428170707
"The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy. It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations. More information: * DDOD http://ddod.healthdata.gov * Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/ * White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions ]]>
"The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy. It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations. More information: * DDOD http://ddod.healthdata.gov * Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/ * White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions ]]> Thu, 28 Apr 2016 17:07:07 GMT /slideshow/impact-of-ddod-on-data-quality-white-house-2016/61473005 DavidPortnoy@slideshare.net(DavidPortnoy) Impact of DDOD on Data Quality - White House 2016 DavidPortnoy "The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy. It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations. More information: * DDOD http://ddod.healthdata.gov * Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/ * White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/impactofddodondataquality-whitehouse4272016-160428170707-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> &quot;The Impact of Demand-Driven Open Data (DDOD) on Data Quality&quot; was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy. It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations. More information: * DDOD http://ddod.healthdata.gov * Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/ * White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions
Impact of DDOD on Data Quality - White House 2016 from David Portnoy
]]> 895 4 https://cdn.slidesharecdn.com/ss_thumbnails/impactofddodondataquality-whitehouse4272016-160428170707-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Industry Uses of HHS Data /slideshow/industry-uses-of-hhs-data/59619721 industryusesofhhsdata-160316073829
There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies. HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.]]>
There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies. HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.]]> Wed, 16 Mar 2016 07:38:29 GMT /slideshow/industry-uses-of-hhs-data/59619721 DavidPortnoy@slideshare.net(DavidPortnoy) Industry Uses of HHS Data DavidPortnoy There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies. HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/industryusesofhhsdata-160316073829-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies. HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.
Industry Uses of HHS Data from David Portnoy
]]> 712 7 https://cdn.slidesharecdn.com/ss_thumbnails/industryusesofhhsdata-160316073829-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Open Data Discoverability /slideshow/open-data-discoverability/58745746 opendatadiscoverability-160226082536
Methods and tools for making public open data more discoverable and usable.]]>
Methods and tools for making public open data more discoverable and usable.]]> Fri, 26 Feb 2016 08:25:36 GMT /slideshow/open-data-discoverability/58745746 DavidPortnoy@slideshare.net(DavidPortnoy) Open Data Discoverability DavidPortnoy Methods and tools for making public open data more discoverable and usable. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/opendatadiscoverability-160226082536-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Methods and tools for making public open data more discoverable and usable.
Open Data Discoverability from David Portnoy
]]> 1872 4 https://cdn.slidesharecdn.com/ss_thumbnails/opendatadiscoverability-160226082536-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 DDOD for FOIA organizations /slideshow/ddod-for-foia-organizations/52871561 ddodforfoiaorganizations-150917011806-lva1-app6891
This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]>
This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]> Thu, 17 Sep 2015 01:18:05 GMT /slideshow/ddod-for-foia-organizations/52871561 DavidPortnoy@slideshare.net(DavidPortnoy) DDOD for FOIA organizations DavidPortnoy This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddodforfoiaorganizations-150917011806-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other&#39;s strengths to help overcome their inherent challenges. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It&#39;s the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us
DDOD for FOIA organizations from David Portnoy
]]> 553 6 https://cdn.slidesharecdn.com/ss_thumbnails/ddodforfoiaorganizations-150917011806-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Intro to Demand-Driven Open Data for Data Owners /slideshow/intro-to-ddod-for-data-owners/43647551 introtoddodfordataowners-150118235454-conversion-gate01
This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]>
This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]> Sun, 18 Jan 2015 23:54:54 GMT /slideshow/intro-to-ddod-for-data-owners/43647551 DavidPortnoy@slideshare.net(DavidPortnoy) Intro to Demand-Driven Open Data for Data Owners DavidPortnoy This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introtoddodfordataowners-150118235454-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This document is intended for use by data owners within government to learn how Demand-Driven Open Data (DDOD) could benefit their organizations. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us
Intro to Demand-Driven Open Data for Data Owners from David Portnoy
]]> 4591 4 https://cdn.slidesharecdn.com/ss_thumbnails/introtoddodfordataowners-150118235454-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Intro to Demand Driven Open Data for Data Users /slideshow/intro-to-demanddriven-open-data-for-data-users/43645860 introtoddodfordatausers-150118220519-conversion-gate01
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]>
This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us]]> Sun, 18 Jan 2015 22:05:19 GMT /slideshow/intro-to-demanddriven-open-data-for-data-users/43645860 DavidPortnoy@slideshare.net(DavidPortnoy) Intro to Demand Driven Open Data for Data Users DavidPortnoy This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introtoddodfordatausers-150118220519-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This document is intended for any commercial or academic organization to learn how Demand-Driven Open Data (DDOD) could benefit them. DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHSs agencies (CMS, NIH, CDC, FDA, AHRQ and others) to create additional economic and public health value. DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled. DDOD website: http://ddod.us
Intro to Demand Driven Open Data for Data Users from David Portnoy
]]> 15927 4 https://cdn.slidesharecdn.com/ss_thumbnails/introtoddodfordatausers-150118220519-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Case Study in Linked Data and Semantic Web: Human Genome /slideshow/linked-data-gwas-catalog-20140821/38289842 linkeddata-gwascatalog2014-08-21-140823180207-phpapp01
The National Human Genome Research Institute's "GWAS Catalog" (Genome-Wide Association Studies) project is a successful implementation of Linked Data (http://linkeddata.org/) and Semantic Web (http://www.w3.org/standards/semanticweb/) concepts. This deck discusses how this project has been implemented, challenges faced and possible paths for the future. ]]>
The National Human Genome Research Institute's "GWAS Catalog" (Genome-Wide Association Studies) project is a successful implementation of Linked Data (http://linkeddata.org/) and Semantic Web (http://www.w3.org/standards/semanticweb/) concepts. This deck discusses how this project has been implemented, challenges faced and possible paths for the future. ]]> Sat, 23 Aug 2014 18:02:07 GMT /slideshow/linked-data-gwas-catalog-20140821/38289842 DavidPortnoy@slideshare.net(DavidPortnoy) Case Study in Linked Data and Semantic Web: Human Genome DavidPortnoy The National Human Genome Research Institute's "GWAS Catalog" (Genome-Wide Association Studies) project is a successful implementation of Linked Data (http://linkeddata.org/) and Semantic Web (http://www.w3.org/standards/semanticweb/) concepts. This deck discusses how this project has been implemented, challenges faced and possible paths for the future. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-gwascatalog2014-08-21-140823180207-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The National Human Genome Research Institute&#39;s &quot;GWAS Catalog&quot; (Genome-Wide Association Studies) project is a successful implementation of Linked Data (http://linkeddata.org/) and Semantic Web (http://www.w3.org/standards/semanticweb/) concepts. This deck discusses how this project has been implemented, challenges faced and possible paths for the future.
Case Study in Linked Data and Semantic Web: Human Genome from David Portnoy
]]> 2639 11 https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-gwascatalog2014-08-21-140823180207-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Hybrid Data Warehouse Hadoop Implementations /slideshow/hybrid-data-warehouse-hadoop-implementations/18640135 hybriddw-hadoop2013-04-11-130411184731-phpapp01
Data Warehouse vendors are evolving to incorporate the best Hadoop has to offer. Similarly, the Hadoop ecosystem is growing to include capabilities previously available only to large scale (MPP) DW platforms.]]>
Data Warehouse vendors are evolving to incorporate the best Hadoop has to offer. Similarly, the Hadoop ecosystem is growing to include capabilities previously available only to large scale (MPP) DW platforms.]]> Thu, 11 Apr 2013 18:47:31 GMT /slideshow/hybrid-data-warehouse-hadoop-implementations/18640135 DavidPortnoy@slideshare.net(DavidPortnoy) Hybrid Data Warehouse Hadoop Implementations DavidPortnoy Data Warehouse vendors are evolving to incorporate the best Hadoop has to offer. Similarly, the Hadoop ecosystem is growing to include capabilities previously available only to large scale (MPP) DW platforms. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hybriddw-hadoop2013-04-11-130411184731-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Warehouse vendors are evolving to incorporate the best Hadoop has to offer. Similarly, the Hadoop ecosystem is growing to include capabilities previously available only to large scale (MPP) DW platforms.
Hybrid Data Warehouse Hadoop Implementations from David Portnoy
]]> 7727 10 https://cdn.slidesharecdn.com/ss_thumbnails/hybriddw-hadoop2013-04-11-130411184731-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Agile Business Intelligence /slideshow/agile-bi-18491924/18491924 dataintegrationinagilebi2013-04-09-130409142057-phpapp01
Applying Agile Delivery to Business Intelligence, focusing on ETL development]]>
Applying Agile Delivery to Business Intelligence, focusing on ETL development]]> Tue, 09 Apr 2013 14:20:57 GMT /slideshow/agile-bi-18491924/18491924 DavidPortnoy@slideshare.net(DavidPortnoy) Agile Business Intelligence DavidPortnoy Applying Agile Delivery to Business Intelligence, focusing on ETL development <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataintegrationinagilebi2013-04-09-130409142057-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Applying Agile Delivery to Business Intelligence, focusing on ETL development
Agile Business Intelligence from David Portnoy
]]> 7389 6 https://cdn.slidesharecdn.com/ss_thumbnails/dataintegrationinagilebi2013-04-09-130409142057-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comparison of MPP Data Warehouse Platforms /DavidPortnoy/comparison-of-mpp-data-warehouse-platforms comparisonofmppdw2013-01-23-130124012712-phpapp01
Comparison of MPP Data Warehouse Platforms, including key differences, architectures, trends, costs, maturity and marketshare]]>
Comparison of MPP Data Warehouse Platforms, including key differences, architectures, trends, costs, maturity and marketshare]]> Thu, 24 Jan 2013 01:27:12 GMT /DavidPortnoy/comparison-of-mpp-data-warehouse-platforms DavidPortnoy@slideshare.net(DavidPortnoy) Comparison of MPP Data Warehouse Platforms DavidPortnoy Comparison of MPP Data Warehouse Platforms, including key differences, architectures, trends, costs, maturity and marketshare <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comparisonofmppdw2013-01-23-130124012712-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Comparison of MPP Data Warehouse Platforms, including key differences, architectures, trends, costs, maturity and marketshare
Comparison of MPP Data Warehouse Platforms from David Portnoy
]]> 49697 9 https://cdn.slidesharecdn.com/ss_thumbnails/comparisonofmppdw2013-01-23-130124012712-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-DavidPortnoy-48x48.jpg?cb=1526441087 I've been building data-driven applications and BI/DW solutions for over 15 years and doing it with my signature "lean startup" style. david.portnoy.us/ https://cdn.slidesharecdn.com/ss_thumbnails/ddodframeworkinfographic-160712113219-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ddod-framework-infographic/63945587 DDOD framework infogra... https://cdn.slidesharecdn.com/ss_thumbnails/impactofddodondataquality-whitehouse4272016-160428170707-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/impact-of-ddod-on-data-quality-white-house-2016/61473005 Impact of DDOD on Data... https://cdn.slidesharecdn.com/ss_thumbnails/industryusesofhhsdata-160316073829-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/industry-uses-of-hhs-data/59619721 Industry Uses of HHS Data