ºÝºÝߣshows by User: DanielUpton / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: DanielUpton / Thu, 12 Jan 2017 16:34:59 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: DanielUpton Shorter time to insight more adaptable less costly bi with end to end modelstorming and data vault /slideshow/shorter-time-to-insight-more-adaptable-less-costly-bi-with-data-vault-and-end-to-end-model-storming-slideshare-2017-0112-70955512/70955512 shortertimetoinsightmoreadaptablelesscostlybiwithdatavaultandendtoendmodelstormingslideshare20170112-170112163500
For Data Project Leaders: This data warehouse data modeling approach enables shorter time to insights, lower cost and greater adaptability to external changes by combining my End to End Data Modelstorming concept with Data Vault modeling.]]>
For Data Project Leaders: This data warehouse data modeling approach enables shorter time to insights, lower cost and greater adaptability to external changes by combining my End to End Data Modelstorming concept with Data Vault modeling.]]> Thu, 12 Jan 2017 16:34:59 GMT /slideshow/shorter-time-to-insight-more-adaptable-less-costly-bi-with-data-vault-and-end-to-end-model-storming-slideshare-2017-0112-70955512/70955512 DanielUpton@slideshare.net(DanielUpton) Shorter time to insight more adaptable less costly bi with end to end modelstorming and data vault DanielUpton For Data Project Leaders: This data warehouse data modeling approach enables shorter time to insights, lower cost and greater adaptability to external changes by combining my End to End Data Modelstorming concept with Data Vault modeling. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/shortertimetoinsightmoreadaptablelesscostlybiwithdatavaultandendtoendmodelstormingslideshare20170112-170112163500-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> For Data Project Leaders: This data warehouse data modeling approach enables shorter time to insights, lower cost and greater adaptability to external changes by combining my End to End Data Modelstorming concept with Data Vault modeling.
Shorter time to insight more adaptable less costly bi with end to end modelstorming and data vault from Daniel Upton
]]> 793 4 https://cdn.slidesharecdn.com/ss_thumbnails/shortertimetoinsightmoreadaptablelesscostlybiwithdatavaultandendtoendmodelstormingslideshare20170112-170112163500-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 Original: Lean Data Model Storming for the Agile Enterprise /DanielUpton/original-lean-data-model-storming-for-the-agile-enterprise leandatamodelstormingfortheagileenterprise-master-161031212146
This original publication, aimed at data project leaders, describes a set of methods for agile modeling and delivery of an enterprise data warehouse, which together make it quicker to deliver, faster to load, and more easily adaptable to unexpected changes in source data, business rules or reporting/analytic requirements. With this set of methods, the parts of data warehouse development that used to be the most resistant to sprint-sized / agile work breakdown -- data modeling and ETL -- are now completely agile, so that this tasking, too, can now be sized purely based on customer requirements, rather than the dictates of a traditional data warehouse architecture.]]>
This original publication, aimed at data project leaders, describes a set of methods for agile modeling and delivery of an enterprise data warehouse, which together make it quicker to deliver, faster to load, and more easily adaptable to unexpected changes in source data, business rules or reporting/analytic requirements. With this set of methods, the parts of data warehouse development that used to be the most resistant to sprint-sized / agile work breakdown -- data modeling and ETL -- are now completely agile, so that this tasking, too, can now be sized purely based on customer requirements, rather than the dictates of a traditional data warehouse architecture.]]> Mon, 31 Oct 2016 21:21:45 GMT /DanielUpton/original-lean-data-model-storming-for-the-agile-enterprise DanielUpton@slideshare.net(DanielUpton) Original: Lean Data Model Storming for the Agile Enterprise DanielUpton This original publication, aimed at data project leaders, describes a set of methods for agile modeling and delivery of an enterprise data warehouse, which together make it quicker to deliver, faster to load, and more easily adaptable to unexpected changes in source data, business rules or reporting/analytic requirements. With this set of methods, the parts of data warehouse development that used to be the most resistant to sprint-sized / agile work breakdown -- data modeling and ETL -- are now completely agile, so that this tasking, too, can now be sized purely based on customer requirements, rather than the dictates of a traditional data warehouse architecture. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/leandatamodelstormingfortheagileenterprise-master-161031212146-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This original publication, aimed at data project leaders, describes a set of methods for agile modeling and delivery of an enterprise data warehouse, which together make it quicker to deliver, faster to load, and more easily adaptable to unexpected changes in source data, business rules or reporting/analytic requirements. With this set of methods, the parts of data warehouse development that used to be the most resistant to sprint-sized / agile work breakdown -- data modeling and ETL -- are now completely agile, so that this tasking, too, can now be sized purely based on customer requirements, rather than the dictates of a traditional data warehouse architecture.
Original: Lean Data Model Storming for the Agile Enterprise from Daniel Upton
]]> 1136 5 https://cdn.slidesharecdn.com/ss_thumbnails/leandatamodelstormingfortheagileenterprise-master-161031212146-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 EDW Data Model Storming for Integration of NoSQL and RDBMS by Daniel Upton /slideshow/edw-data-model-storming-for-integration-of-nosql-and-rdbms-by-daniel-upton/60370797 edwdatamodelstormingforintegrationofnosqlandrdbms-sqlsatnum4972016huntingtonbeachpresbydanielupton-160402045918
How to adeptly model a lean data warehouse for maximum adapability to a changing business, changing source data, changing business rules, changing requirements, and changing needs for integration with NoSQL repositories.]]>
How to adeptly model a lean data warehouse for maximum adapability to a changing business, changing source data, changing business rules, changing requirements, and changing needs for integration with NoSQL repositories.]]> Sat, 02 Apr 2016 04:59:18 GMT /slideshow/edw-data-model-storming-for-integration-of-nosql-and-rdbms-by-daniel-upton/60370797 DanielUpton@slideshare.net(DanielUpton) EDW Data Model Storming for Integration of NoSQL and RDBMS by Daniel Upton DanielUpton How to adeptly model a lean data warehouse for maximum adapability to a changing business, changing source data, changing business rules, changing requirements, and changing needs for integration with NoSQL repositories. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edwdatamodelstormingforintegrationofnosqlandrdbms-sqlsatnum4972016huntingtonbeachpresbydanielupton-160402045918-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How to adeptly model a lean data warehouse for maximum adapability to a changing business, changing source data, changing business rules, changing requirements, and changing needs for integration with NoSQL repositories.
EDW Data Model Storming for Integration of NoSQL and RDBMS by Daniel Upton from Daniel Upton
]]> 1235 4 https://cdn.slidesharecdn.com/ss_thumbnails/edwdatamodelstormingforintegrationofnosqlandrdbms-sqlsatnum4972016huntingtonbeachpresbydanielupton-160402045918-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Modeling for Integration of NoSQL with a Data Warehouse /slideshow/data-modeling-for-integration-of-nosql-with-a-data-warehouse/52899988 datamodelingforintegrationofnosqlwithrdbmsdw-sqlsat2015sandiegonum449presbydanielupton-150917162659-lva1-app6891
Learn to model data to be visible and accessible between NOSQL Big Data repositories and your RDBMS Data Warehouse. Learn how specific RDBMS Data Warehouse data modeling approaches establish flexible integration with NoSQL data sets that do not play by E.F. Codd’s rules. ]]>
Learn to model data to be visible and accessible between NOSQL Big Data repositories and your RDBMS Data Warehouse. Learn how specific RDBMS Data Warehouse data modeling approaches establish flexible integration with NoSQL data sets that do not play by E.F. Codd’s rules. ]]> Thu, 17 Sep 2015 16:26:59 GMT /slideshow/data-modeling-for-integration-of-nosql-with-a-data-warehouse/52899988 DanielUpton@slideshare.net(DanielUpton) Data Modeling for Integration of NoSQL with a Data Warehouse DanielUpton Learn to model data to be visible and accessible between NOSQL Big Data repositories and your RDBMS Data Warehouse. Learn how specific RDBMS Data Warehouse data modeling approaches establish flexible integration with NoSQL data sets that do not play by E.F. Codd’s rules. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datamodelingforintegrationofnosqlwithrdbmsdw-sqlsat2015sandiegonum449presbydanielupton-150917162659-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learn to model data to be visible and accessible between NOSQL Big Data repositories and your RDBMS Data Warehouse. Learn how specific RDBMS Data Warehouse data modeling approaches establish flexible integration with NoSQL data sets that do not play by E.F. Codd’s rules.
Data Modeling for Integration of NoSQL with a Data Warehouse from Daniel Upton
]]> 2107 4 https://cdn.slidesharecdn.com/ss_thumbnails/datamodelingforintegrationofnosqlwithrdbmsdw-sqlsat2015sandiegonum449presbydanielupton-150917162659-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Lean Data Warehouse via Data Vault /DanielUpton/lean-data-warehouse-via-data-vault leandatawarehouseviadatavault-150315143946-conversion-gate01
A Lean Data Warehouse, compared with a traditional one (with a dimensional or 3rd normal form model), is faster to deliver, freer of waste, and inherently more adaptable to change. From my experience in the trenches, each of these benefits fit squarely in the 'must have' category. Data Vault is an excellent logical architecture with which to design a Lean Data Warehouse. This article describes the priorities of a Lean Data Warehouse, and compares the two traditional modeling methods with Data Vault, concluding that Data Vault is more suited to deliver on those Lean priorities.]]>
A Lean Data Warehouse, compared with a traditional one (with a dimensional or 3rd normal form model), is faster to deliver, freer of waste, and inherently more adaptable to change. From my experience in the trenches, each of these benefits fit squarely in the 'must have' category. Data Vault is an excellent logical architecture with which to design a Lean Data Warehouse. This article describes the priorities of a Lean Data Warehouse, and compares the two traditional modeling methods with Data Vault, concluding that Data Vault is more suited to deliver on those Lean priorities.]]> Sun, 15 Mar 2015 14:39:46 GMT /DanielUpton/lean-data-warehouse-via-data-vault DanielUpton@slideshare.net(DanielUpton) Lean Data Warehouse via Data Vault DanielUpton A Lean Data Warehouse, compared with a traditional one (with a dimensional or 3rd normal form model), is faster to deliver, freer of waste, and inherently more adaptable to change. From my experience in the trenches, each of these benefits fit squarely in the 'must have' category. Data Vault is an excellent logical architecture with which to design a Lean Data Warehouse. This article describes the priorities of a Lean Data Warehouse, and compares the two traditional modeling methods with Data Vault, concluding that Data Vault is more suited to deliver on those Lean priorities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/leandatawarehouseviadatavault-150315143946-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Lean Data Warehouse, compared with a traditional one (with a dimensional or 3rd normal form model), is faster to deliver, freer of waste, and inherently more adaptable to change. From my experience in the trenches, each of these benefits fit squarely in the &#39;must have&#39; category. Data Vault is an excellent logical architecture with which to design a Lean Data Warehouse. This article describes the priorities of a Lean Data Warehouse, and compares the two traditional modeling methods with Data Vault, concluding that Data Vault is more suited to deliver on those Lean priorities.
Lean Data Warehouse via Data Vault from Daniel Upton
]]> 4461 9 https://cdn.slidesharecdn.com/ss_thumbnails/leandatawarehouseviadatavault-150315143946-conversion-gate01-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 Data Vault: What is it? Where does it fit? SQL Saturday #249 /slideshow/data-vault-what-is-it-where-does-it-fit-sql-saturday-249-presentation/26417521 datavault-whatisit-wheredoesitfit-sqlsaturday249presentation-130921162352-phpapp02
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]]> Sat, 21 Sep 2013 16:23:52 GMT /slideshow/data-vault-what-is-it-where-does-it-fit-sql-saturday-249-presentation/26417521 DanielUpton@slideshare.net(DanielUpton) Data Vault: What is it? Where does it fit? SQL Saturday #249 DanielUpton <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datavault-whatisit-wheredoesitfit-sqlsaturday249presentation-130921162352-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Data Vault: What is it? Where does it fit? SQL Saturday #249 from Daniel Upton
]]> 3486 5 https://cdn.slidesharecdn.com/ss_thumbnails/datavault-whatisit-wheredoesitfit-sqlsaturday249presentation-130921162352-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Agile BI via Data Vault and Modelstorming /slideshow/slide-show-agile-bi-via-data-vault-and-modelstorming/25060165 slideshow-agilebiviadatavaultandmodelstorming-130808091353-phpapp02
Audience: Business Intelligence Architects, Project Managers and Sponsors. This slideshow accompanies a video presentation of the same name, available at http://youtu.be/e0cHFdeGEeE.]]>
Audience: Business Intelligence Architects, Project Managers and Sponsors. This slideshow accompanies a video presentation of the same name, available at http://youtu.be/e0cHFdeGEeE.]]> Thu, 08 Aug 2013 09:13:53 GMT /slideshow/slide-show-agile-bi-via-data-vault-and-modelstorming/25060165 DanielUpton@slideshare.net(DanielUpton) Agile BI via Data Vault and Modelstorming DanielUpton Audience: Business Intelligence Architects, Project Managers and Sponsors. This slideshow accompanies a video presentation of the same name, available at http://youtu.be/e0cHFdeGEeE. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slideshow-agilebiviadatavaultandmodelstorming-130808091353-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Audience: Business Intelligence Architects, Project Managers and Sponsors. This slideshow accompanies a video presentation of the same name, available at http://youtu.be/e0cHFdeGEeE.
Agile BI via Data Vault and Modelstorming from Daniel Upton
]]> 3147 5 https://cdn.slidesharecdn.com/ss_thumbnails/slideshow-agilebiviadatavaultandmodelstorming-130808091353-phpapp02-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 Enhancing Dashboard Visuals with Multi-Dimensional Expressions (MDX) /DanielUpton/enhancing-dashboard-visuals-with-mdx enhancingdashboardvisualswithmdx-130327180836-phpapp02
Here's an original presentation I gave at the SoCal Business Intelligence User Group in 2008. On reviewing it, and although the underlying platforms have evolved since then, the topic still seems relevant.]]>
Here's an original presentation I gave at the SoCal Business Intelligence User Group in 2008. On reviewing it, and although the underlying platforms have evolved since then, the topic still seems relevant.]]> Wed, 27 Mar 2013 18:08:36 GMT /DanielUpton/enhancing-dashboard-visuals-with-mdx DanielUpton@slideshare.net(DanielUpton) Enhancing Dashboard Visuals with Multi-Dimensional Expressions (MDX) DanielUpton Here's an original presentation I gave at the SoCal Business Intelligence User Group in 2008. On reviewing it, and although the underlying platforms have evolved since then, the topic still seems relevant. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/enhancingdashboardvisualswithmdx-130327180836-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Here&#39;s an original presentation I gave at the SoCal Business Intelligence User Group in 2008. On reviewing it, and although the underlying platforms have evolved since then, the topic still seems relevant.
Enhancing Dashboard Visuals with Multi-Dimensional Expressions (MDX) from Daniel Upton
]]> 1665 4 https://cdn.slidesharecdn.com/ss_thumbnails/enhancingdashboardvisualswithmdx-130327180836-phpapp02-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 Marketing Pipeline Intelligence: A Dimensional Model /slideshow/marketing-pipeline-intelligence-a-dimensional-model/17773370 marketingpipelineintelligenceadimensionalmodel-130327165934-phpapp01
aaRe-publishing this piece, which I originally designed and wrote in October 2010. Importantly, implementing this design and populating even medium-sized fact tables (say 10 million plus records) will probably only produce acceptable query performance if either massively-parallel processing architecture, or OLAP, is used.]]>
aaRe-publishing this piece, which I originally designed and wrote in October 2010. Importantly, implementing this design and populating even medium-sized fact tables (say 10 million plus records) will probably only produce acceptable query performance if either massively-parallel processing architecture, or OLAP, is used.]]> Wed, 27 Mar 2013 16:59:34 GMT /slideshow/marketing-pipeline-intelligence-a-dimensional-model/17773370 DanielUpton@slideshare.net(DanielUpton) Marketing Pipeline Intelligence: A Dimensional Model DanielUpton aaRe-publishing this piece, which I originally designed and wrote in October 2010. Importantly, implementing this design and populating even medium-sized fact tables (say 10 million plus records) will probably only produce acceptable query performance if either massively-parallel processing architecture, or OLAP, is used. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marketingpipelineintelligenceadimensionalmodel-130327165934-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> aaRe-publishing this piece, which I originally designed and wrote in October 2010. Importantly, implementing this design and populating even medium-sized fact tables (say 10 million plus records) will probably only produce acceptable query performance if either massively-parallel processing architecture, or OLAP, is used.
Marketing Pipeline Intelligence: A Dimensional Model from Daniel Upton
]]> 3035 3 https://cdn.slidesharecdn.com/ss_thumbnails/marketingpipelineintelligenceadimensionalmodel-130327165934-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 Data Vault: Data Warehouse Design Goes Agile /slideshow/data-vault-data-warehouse-design-goes-agile/17466607 datavaultdwdesigngoesagile-130321141211-phpapp02
Data Warehouse (especially EDW) design needs to get Agile. This whitepaper introduces Data Vault to newcomers, and describes how it adds agility to DW best practices.]]>
Data Warehouse (especially EDW) design needs to get Agile. This whitepaper introduces Data Vault to newcomers, and describes how it adds agility to DW best practices.]]> Thu, 21 Mar 2013 14:12:11 GMT /slideshow/data-vault-data-warehouse-design-goes-agile/17466607 DanielUpton@slideshare.net(DanielUpton) Data Vault: Data Warehouse Design Goes Agile DanielUpton Data Warehouse (especially EDW) design needs to get Agile. This whitepaper introduces Data Vault to newcomers, and describes how it adds agility to DW best practices. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datavaultdwdesigngoesagile-130321141211-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data Warehouse (especially EDW) design needs to get Agile. This whitepaper introduces Data Vault to newcomers, and describes how it adds agility to DW best practices.
Data Vault: Data Warehouse Design Goes Agile from Daniel Upton
]]> 5146 12 https://cdn.slidesharecdn.com/ss_thumbnails/datavaultdwdesigngoesagile-130321141211-phpapp02-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-DanielUpton-48x48.jpg?cb=1682218433 I live where information modeling, data management and analytics intersect. My data modeling expertise spans the continuum from easy-to-understand dimensional data models for reporting and analytics specified in advance -- to robust, loosely-coupled data models for integration of structured and semi-structured data, even when analytics requirements are not well-understood in advance. Recent efforts have been to add scale and rigor to self-service analytics, finding ways to minimize 'time to insights' while making it repeatable and extensible. Industry Sectors: Manufacturing, Healthcare, Pharma, Consumer Credit, Securities, Banking, Insurance, Real Estate, Manufacturing, Utilities, a... www.decisionlab.net https://cdn.slidesharecdn.com/ss_thumbnails/shortertimetoinsightmoreadaptablelesscostlybiwithdatavaultandendtoendmodelstormingslideshare20170112-170112163500-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/shorter-time-to-insight-more-adaptable-less-costly-bi-with-data-vault-and-end-to-end-model-storming-slideshare-2017-0112-70955512/70955512 Shorter time to insigh... https://cdn.slidesharecdn.com/ss_thumbnails/leandatamodelstormingfortheagileenterprise-master-161031212146-thumbnail.jpg?width=320&height=320&fit=bounds DanielUpton/original-lean-data-model-storming-for-the-agile-enterprise Original: Lean Data Mo... https://cdn.slidesharecdn.com/ss_thumbnails/edwdatamodelstormingforintegrationofnosqlandrdbms-sqlsatnum4972016huntingtonbeachpresbydanielupton-160402045918-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/edw-data-model-storming-for-integration-of-nosql-and-rdbms-by-daniel-upton/60370797 EDW Data Model Stormin...