SlideShare ist ein Scribd-Unternehmen logo
1 von 18
Data Vault ModelingWHAT’S NEXT??? © Dan Linstedt 2009-2012 This was a presentation I gave at an Array Conference In the Netherlands, in 2009.
A bit about me… 2 Author, Inventor, Speaker – and part time photographer… 25+ years in the IT industry Worked in DoD, US Gov’t, Fortune 50, and so on… Find out more about the Data Vault: http://www.youtube.com/LearnDataVault http://LearnDataVault.com Full profile on http://www.LinkedIn.com/dlinstedt 10/5/2011 LearnDataVault.com
Who’s Using It? 10/5/2011 LearnDataVault.com 3
Featured Word from Our Customer 10/5/2011 LearnDataVault.com 4 Jonathan Rice, BSc ING Real Estate/Development International/Operational Support  Location HP A.05.071 PO Box 90463, 2509 LL The Hague, The Netherlands They are connecting MS SharePoint back-end to Data Vault Modeling EDW.
What’s Changing the Game? Solid State Disk (SSD) Hosted Cloud Computing Column Based Databases Unstructured Information Ontologies / Taxonomies Mining Engines Broad Based Web Services Business Demand for Immediate Answers (pushing real-time) Compliance and Auditability (pushing volume) 10/5/2011 LearnDataVault.com 5 ,[object Object]
Flash & Silverlight Front-Ends
Analytic functions in Database Engines
Business Rules Engines Melding with ETL and Web Services
DW Appliances,[object Object]
First Change: Business Data Vault 10/5/2011 LearnDataVault.com 7 SOA Enterprise BI Solution Star Schemas (real-time) Sales Batch DV EDW BDV EDW Staging Error Marts Finance Contracts Report Collections Business Rules Downstream! (the Lens Filter)
Next Change: Staging Removal 10/5/2011 LearnDataVault.com 8 Enterprise BI Solution SOA Write Back (real-time) Star Schemas Sales DV EDW BDV EDW Error Marts Finance Contracts Report Collections Business Rules Downstream! (the Lens Filter)
Next Change: Virtual Marts 10/5/2011 LearnDataVault.com 9 Enterprise BI Solution SOA Write Back Virtual  Marts & Dynamic Cubes (real-time) Sales Finance DV EDW BDV EDW Contracts Business Rules Downstream! (the Lens Filter)
Next Change: Unstructured Data 10/5/2011 LearnDataVault.com 10 Unstructured Data Sets Ontologies/Taxonomies Unstructured  Processing Engine ,[object Object]
Docs
Images
Movies
SoundOn-Demand Cubes Joins through LINK Structures Raw Data Vault EDW
A Look at Ontologies 10/5/2011 LearnDataVault.com 11 Hierarchies of Data: Synonyms, Homonyms, Antonyms, Related Terms, Definitions, Categorizations, Organizations, Views of the data world Ontologies HOLD THE KEY to understanding/conceptual relevance Ontologies can PIVOT raw data in to many different results

Weitere ähnliche Inhalte

Was ist angesagt?

Agile Data Mining with Data Vault 2.0 (english)
Agile Data Mining with Data Vault 2.0 (english)Agile Data Mining with Data Vault 2.0 (english)
Agile Data Mining with Data Vault 2.0 (english)Michael Olschimke
 
Data Vault: Data Warehouse Design Goes Agile
Data Vault: Data Warehouse Design Goes AgileData Vault: Data Warehouse Design Goes Agile
Data Vault: Data Warehouse Design Goes AgileDaniel Upton
 
Agile Data Warehouse Modeling: Introduction to Data Vault Data Modeling
Agile Data Warehouse Modeling: Introduction to Data Vault Data ModelingAgile Data Warehouse Modeling: Introduction to Data Vault Data Modeling
Agile Data Warehouse Modeling: Introduction to Data Vault Data ModelingKent Graziano
 
Agile Data Engineering - Intro to Data Vault Modeling (2016)
Agile Data Engineering - Intro to Data Vault Modeling (2016)Agile Data Engineering - Intro to Data Vault Modeling (2016)
Agile Data Engineering - Intro to Data Vault Modeling (2016)Kent Graziano
 
Lean Data Warehouse via Data Vault
Lean Data Warehouse via Data VaultLean Data Warehouse via Data Vault
Lean Data Warehouse via Data VaultDaniel Upton
 
Agile BI via Data Vault and Modelstorming
Agile BI via Data Vault and ModelstormingAgile BI via Data Vault and Modelstorming
Agile BI via Data Vault and ModelstormingDaniel Upton
 
Shorter time to insight more adaptable less costly bi with end to end modelst...
Shorter time to insight more adaptable less costly bi with end to end modelst...Shorter time to insight more adaptable less costly bi with end to end modelst...
Shorter time to insight more adaptable less costly bi with end to end modelst...Daniel Upton
 
Guru4Pro Data Vault Best Practices
Guru4Pro Data Vault Best PracticesGuru4Pro Data Vault Best Practices
Guru4Pro Data Vault Best PracticesCGI
 
GigaOm-sector-roadmap-cloud-analytic-databases-2017
GigaOm-sector-roadmap-cloud-analytic-databases-2017GigaOm-sector-roadmap-cloud-analytic-databases-2017
GigaOm-sector-roadmap-cloud-analytic-databases-2017Jeremy Maranitch
 
Data Warehouse Design and Best Practices
Data Warehouse Design and Best PracticesData Warehouse Design and Best Practices
Data Warehouse Design and Best PracticesIvo Andreev
 
Conceptional Data Vault
Conceptional Data VaultConceptional Data Vault
Conceptional Data VaultTorsten Glunde
 
Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011Hans Hultgren
 
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...Edureka!
 
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Cloudera, Inc.
 
Data Science Operationalization: The Journey of Enterprise AI
Data Science Operationalization: The Journey of Enterprise AIData Science Operationalization: The Journey of Enterprise AI
Data Science Operationalization: The Journey of Enterprise AIDenodo
 
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...Denodo
 
(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling
(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling
(OTW13) Agile Data Warehousing: Introduction to Data Vault ModelingKent Graziano
 

Was ist angesagt? (20)

Agile Data Mining with Data Vault 2.0 (english)
Agile Data Mining with Data Vault 2.0 (english)Agile Data Mining with Data Vault 2.0 (english)
Agile Data Mining with Data Vault 2.0 (english)
 
Why Data Vault?
Why Data Vault? Why Data Vault?
Why Data Vault?
 
Data vault modeling et retour d'expérience
Data vault modeling et retour d'expérienceData vault modeling et retour d'expérience
Data vault modeling et retour d'expérience
 
Data Vault: Data Warehouse Design Goes Agile
Data Vault: Data Warehouse Design Goes AgileData Vault: Data Warehouse Design Goes Agile
Data Vault: Data Warehouse Design Goes Agile
 
Agile Data Warehouse Modeling: Introduction to Data Vault Data Modeling
Agile Data Warehouse Modeling: Introduction to Data Vault Data ModelingAgile Data Warehouse Modeling: Introduction to Data Vault Data Modeling
Agile Data Warehouse Modeling: Introduction to Data Vault Data Modeling
 
Agile Data Engineering - Intro to Data Vault Modeling (2016)
Agile Data Engineering - Intro to Data Vault Modeling (2016)Agile Data Engineering - Intro to Data Vault Modeling (2016)
Agile Data Engineering - Intro to Data Vault Modeling (2016)
 
Lean Data Warehouse via Data Vault
Lean Data Warehouse via Data VaultLean Data Warehouse via Data Vault
Lean Data Warehouse via Data Vault
 
Agile BI via Data Vault and Modelstorming
Agile BI via Data Vault and ModelstormingAgile BI via Data Vault and Modelstorming
Agile BI via Data Vault and Modelstorming
 
Shorter time to insight more adaptable less costly bi with end to end modelst...
Shorter time to insight more adaptable less costly bi with end to end modelst...Shorter time to insight more adaptable less costly bi with end to end modelst...
Shorter time to insight more adaptable less costly bi with end to end modelst...
 
Guru4Pro Data Vault Best Practices
Guru4Pro Data Vault Best PracticesGuru4Pro Data Vault Best Practices
Guru4Pro Data Vault Best Practices
 
GigaOm-sector-roadmap-cloud-analytic-databases-2017
GigaOm-sector-roadmap-cloud-analytic-databases-2017GigaOm-sector-roadmap-cloud-analytic-databases-2017
GigaOm-sector-roadmap-cloud-analytic-databases-2017
 
Data Warehouse Design and Best Practices
Data Warehouse Design and Best PracticesData Warehouse Design and Best Practices
Data Warehouse Design and Best Practices
 
Conceptional Data Vault
Conceptional Data VaultConceptional Data Vault
Conceptional Data Vault
 
Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011
 
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Wareho...
 
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...
Hadoop World 2011: I Want to Be BIG - Lessons Learned at Scale - David "Sunny...
 
SQL Server Disaster Recovery Implementation
SQL Server Disaster Recovery ImplementationSQL Server Disaster Recovery Implementation
SQL Server Disaster Recovery Implementation
 
Data Science Operationalization: The Journey of Enterprise AI
Data Science Operationalization: The Journey of Enterprise AIData Science Operationalization: The Journey of Enterprise AI
Data Science Operationalization: The Journey of Enterprise AI
 
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...
 
(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling
(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling
(OTW13) Agile Data Warehousing: Introduction to Data Vault Modeling
 

Ähnlich wie Data vault: What's Next

Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroDenodo
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An IntroductionDenodo
 
Virtual Desktops: How Secure Can They Be?
Virtual Desktops: How Secure Can They Be?Virtual Desktops: How Secure Can They Be?
Virtual Desktops: How Secure Can They Be?Desktone
 
Ron Kasabian - Intel Big Data & Cloud Summit 2013
Ron Kasabian - Intel Big Data & Cloud Summit 2013Ron Kasabian - Intel Big Data & Cloud Summit 2013
Ron Kasabian - Intel Big Data & Cloud Summit 2013IntelAPAC
 
Solving the Really Big Tech Problems with IoT
 Solving the Really Big Tech Problems with IoT Solving the Really Big Tech Problems with IoT
Solving the Really Big Tech Problems with IoTEric Kavanagh
 
A Connected Data Landscape: Virtualization and the Internet of Things
A Connected Data Landscape: Virtualization and the Internet of ThingsA Connected Data Landscape: Virtualization and the Internet of Things
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
 
Big Data Performance and Capacity Management
Big Data Performance and Capacity ManagementBig Data Performance and Capacity Management
Big Data Performance and Capacity Managementrightsize
 
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data Virtuality
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data VirtualityBeyond the Data Lake - Matthias Korn, Technical Consultant at Data Virtuality
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data VirtualityDataconomy Media
 
Next Generation Hadoop Introduction
Next Generation Hadoop IntroductionNext Generation Hadoop Introduction
Next Generation Hadoop IntroductionAdam Muise
 
Modern infrastructure for business data lake
Modern infrastructure for business data lakeModern infrastructure for business data lake
Modern infrastructure for business data lakeEMC
 
2014 july 24_what_ishadoop
2014 july 24_what_ishadoop2014 july 24_what_ishadoop
2014 july 24_what_ishadoopAdam Muise
 
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...Alluxio, Inc.
 
Introduction to data vault ilja dmitrijev
Introduction to data vault   ilja dmitrijevIntroduction to data vault   ilja dmitrijev
Introduction to data vault ilja dmitrijevIlja Dmitrijevs
 
An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018Denodo
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
 
Informix warehouse and accelerator overview
Informix warehouse and accelerator overviewInformix warehouse and accelerator overview
Informix warehouse and accelerator overviewKeshav Murthy
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureJames Serra
 
Big Data, Big Picture: Can You See It?
Big Data, Big Picture: Can You See It?Big Data, Big Picture: Can You See It?
Big Data, Big Picture: Can You See It?CA Technologies
 

Ähnlich wie Data vault: What's Next (20)

Solving Big Data Problems
Solving Big Data ProblemsSolving Big Data Problems
Solving Big Data Problems
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
 
Virtual Desktops: How Secure Can They Be?
Virtual Desktops: How Secure Can They Be?Virtual Desktops: How Secure Can They Be?
Virtual Desktops: How Secure Can They Be?
 
Ron Kasabian - Intel Big Data & Cloud Summit 2013
Ron Kasabian - Intel Big Data & Cloud Summit 2013Ron Kasabian - Intel Big Data & Cloud Summit 2013
Ron Kasabian - Intel Big Data & Cloud Summit 2013
 
Solving the Really Big Tech Problems with IoT
 Solving the Really Big Tech Problems with IoT Solving the Really Big Tech Problems with IoT
Solving the Really Big Tech Problems with IoT
 
A Connected Data Landscape: Virtualization and the Internet of Things
A Connected Data Landscape: Virtualization and the Internet of ThingsA Connected Data Landscape: Virtualization and the Internet of Things
A Connected Data Landscape: Virtualization and the Internet of Things
 
Big Data Performance and Capacity Management
Big Data Performance and Capacity ManagementBig Data Performance and Capacity Management
Big Data Performance and Capacity Management
 
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data Virtuality
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data VirtualityBeyond the Data Lake - Matthias Korn, Technical Consultant at Data Virtuality
Beyond the Data Lake - Matthias Korn, Technical Consultant at Data Virtuality
 
Next Generation Hadoop Introduction
Next Generation Hadoop IntroductionNext Generation Hadoop Introduction
Next Generation Hadoop Introduction
 
Modern infrastructure for business data lake
Modern infrastructure for business data lakeModern infrastructure for business data lake
Modern infrastructure for business data lake
 
Data vault
Data vaultData vault
Data vault
 
2014 july 24_what_ishadoop
2014 july 24_what_ishadoop2014 july 24_what_ishadoop
2014 july 24_what_ishadoop
 
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...
Accelerate and Scale Big Data Analytics and Machine Learning Pipelines with D...
 
Introduction to data vault ilja dmitrijev
Introduction to data vault   ilja dmitrijevIntroduction to data vault   ilja dmitrijev
Introduction to data vault ilja dmitrijev
 
An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
 
Informix warehouse and accelerator overview
Informix warehouse and accelerator overviewInformix warehouse and accelerator overview
Informix warehouse and accelerator overview
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
 
Big Data, Big Picture: Can You See It?
Big Data, Big Picture: Can You See It?Big Data, Big Picture: Can You See It?
Big Data, Big Picture: Can You See It?
 

Kürzlich hochgeladen

BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...lizamodels9
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607dollysharma2066
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Riya Pathan
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfRbc Rbcua
 
Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Seta Wicaksana
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...lizamodels9
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 

Kürzlich hochgeladen (20)

BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdf
 
Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 

Data vault: What's Next

  • 1. Data Vault ModelingWHAT’S NEXT??? © Dan Linstedt 2009-2012 This was a presentation I gave at an Array Conference In the Netherlands, in 2009.
  • 2. A bit about me… 2 Author, Inventor, Speaker – and part time photographer… 25+ years in the IT industry Worked in DoD, US Gov’t, Fortune 50, and so on… Find out more about the Data Vault: http://www.youtube.com/LearnDataVault http://LearnDataVault.com Full profile on http://www.LinkedIn.com/dlinstedt 10/5/2011 LearnDataVault.com
  • 3. Who’s Using It? 10/5/2011 LearnDataVault.com 3
  • 4. Featured Word from Our Customer 10/5/2011 LearnDataVault.com 4 Jonathan Rice, BSc ING Real Estate/Development International/Operational Support Location HP A.05.071 PO Box 90463, 2509 LL The Hague, The Netherlands They are connecting MS SharePoint back-end to Data Vault Modeling EDW.
  • 5.
  • 7. Analytic functions in Database Engines
  • 8. Business Rules Engines Melding with ETL and Web Services
  • 9.
  • 10. First Change: Business Data Vault 10/5/2011 LearnDataVault.com 7 SOA Enterprise BI Solution Star Schemas (real-time) Sales Batch DV EDW BDV EDW Staging Error Marts Finance Contracts Report Collections Business Rules Downstream! (the Lens Filter)
  • 11. Next Change: Staging Removal 10/5/2011 LearnDataVault.com 8 Enterprise BI Solution SOA Write Back (real-time) Star Schemas Sales DV EDW BDV EDW Error Marts Finance Contracts Report Collections Business Rules Downstream! (the Lens Filter)
  • 12. Next Change: Virtual Marts 10/5/2011 LearnDataVault.com 9 Enterprise BI Solution SOA Write Back Virtual Marts & Dynamic Cubes (real-time) Sales Finance DV EDW BDV EDW Contracts Business Rules Downstream! (the Lens Filter)
  • 13.
  • 14. Docs
  • 17. SoundOn-Demand Cubes Joins through LINK Structures Raw Data Vault EDW
  • 18. A Look at Ontologies 10/5/2011 LearnDataVault.com 11 Hierarchies of Data: Synonyms, Homonyms, Antonyms, Related Terms, Definitions, Categorizations, Organizations, Views of the data world Ontologies HOLD THE KEY to understanding/conceptual relevance Ontologies can PIVOT raw data in to many different results
  • 19.
  • 20.
  • 27.
  • 28. Why go Operational Data Vault? Benefits Include Direct access to data Removal of 90% of batch streams, replaced by Transactions Better/faster alerting capabilities Direct control over changes to BI answer sets What are the risks? The Data Vault EDW becomes an ODV, brings with it ALL responsibilities of the Operational System What are the problems? Row Locking Consistent Data Access Data Version Control Security of Data through access points Has it been done before? Yes, Cendant Timeshare Resource Group did it in 2002! 10/5/2011 LearnDataVault.com 14
  • 29. Plateau: Dynamic Data Warehouse 10/5/2011 LearnDataVault.com 15 Dynamically Constructed Links Dynamically Created Hubs Dynamically Altered Satellites Dynamically changed ETL/ELT Dynamically Altered Queries Automatically Updated Cubes = Self Morphing (guided) Data Vault H L DL H L Meta Mining Engine H L H H DL L H
  • 30. Impacts of Dynamic Data Vaults Business New found knowledge Evolving Data Warehouse models over time Faster Reporting Self-Maintaining Back-Ends Technical Guided Changes to Structures Auto-Adapting Load Routines Auto-Adapting Query Sets Auto-Suggested Star Schemas 10/5/2011 LearnDataVault.com 16
  • 31. Why go Dynamic? Benefits include: Faster Turn Around Time Auto Configuration of “mundane tasks” Discovery of new relationships (could result in increased revenue) Self Healing Structures How Long before we See It? 5 to 7 years out How do we get there? Meta-Mining Use of Ontologies inside the EDW What’s driving us there? Business Users want faster turn around time Business Users want ingestion of Unstructured Data Sets Business Users need more control over their systems 10/5/2011 LearnDataVault.com 17
  • 32. Where To Learn More The Technical Modeling Book: http://LearnDataVault.com The Discussion Forums: & eventshttp://LinkedIn.com – Data Vault Discussions Contact me:http://DanLinstedt.com - web siteDanLinstedt@gmail.com - email World wide User Group (Free)http://dvusergroup.com 18 10/5/2011 LearnDataVault.com