Suche senden
Hochladen
Data-Ed Online: "Building a Solid Foundation: Data/Information Architecture"
•
2 gefällt mir
•
1,221 views
DATAVERSITY
Folgen
Technologie
Bildung
Melden
Teilen
Melden
Teilen
1 von 58
Jetzt herunterladen
Downloaden Sie, um offline zu lesen
Empfohlen
DataEd Online: Building the Case for the Top Data Job
DataEd Online: Building the Case for the Top Data Job
DATAVERSITY
How to Get Started with Your MongoDB Pilot Project
How to Get Started with Your MongoDB Pilot Project
DATAVERSITY
Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management
Data Blueprint
Leave IT Alone – The Vast Value of Self-Service
Leave IT Alone – The Vast Value of Self-Service
DATAVERSITY
Data-Ed Online: A Practical Approach to Data Modeling
Data-Ed Online: A Practical Approach to Data Modeling
DATAVERSITY
Data-Ed Online: Making the Case for Data Governance
Data-Ed Online: Making the Case for Data Governance
DATAVERSITY
Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing
Data Blueprint
Data Prep - A Key Ingredient for Cloud-based Analytics
Data Prep - A Key Ingredient for Cloud-based Analytics
DATAVERSITY
Empfohlen
DataEd Online: Building the Case for the Top Data Job
DataEd Online: Building the Case for the Top Data Job
DATAVERSITY
How to Get Started with Your MongoDB Pilot Project
How to Get Started with Your MongoDB Pilot Project
DATAVERSITY
Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management
Data Blueprint
Leave IT Alone – The Vast Value of Self-Service
Leave IT Alone – The Vast Value of Self-Service
DATAVERSITY
Data-Ed Online: A Practical Approach to Data Modeling
Data-Ed Online: A Practical Approach to Data Modeling
DATAVERSITY
Data-Ed Online: Making the Case for Data Governance
Data-Ed Online: Making the Case for Data Governance
DATAVERSITY
Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing
Data Blueprint
Data Prep - A Key Ingredient for Cloud-based Analytics
Data Prep - A Key Ingredient for Cloud-based Analytics
DATAVERSITY
Data-Ed Online: Emerging Trends in Data Jobs
Data-Ed Online: Emerging Trends in Data Jobs
DATAVERSITY
Benchmarking IT Agility Final Report
Benchmarking IT Agility Final Report
Softchoice Corporation
DataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business Outcomes
DATAVERSITY
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
DATAVERSITY
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Stijn (Stan) Christiaens
Slides: How Automating Data Lineage Improves BI Performance
Slides: How Automating Data Lineage Improves BI Performance
DATAVERSITY
Data-Ed Webinar: Best Practices with the DMM
Data-Ed Webinar: Best Practices with the DMM
DATAVERSITY
Business Value Through Reference and Master Data Strategies
Business Value Through Reference and Master Data Strategies
DATAVERSITY
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data Blueprint
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DATAVERSITY
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
Data Blueprint
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
DATAVERSITY
Chapter12
Chapter12
Izaham
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
DATAVERSITY
Building the Modern Data Hub
Building the Modern Data Hub
Datavail
DataEd Slides: Data Management vs. Data Strategy
DataEd Slides: Data Management vs. Data Strategy
DATAVERSITY
Why Data Modeling Is Fundamental
Why Data Modeling Is Fundamental
DATAVERSITY
Big Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling Metadata
DATAVERSITY
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
DATAVERSITY
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
DATAVERSITY
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data Modeling
Data Blueprint
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
DATAVERSITY
Weitere ähnliche Inhalte
Was ist angesagt?
Data-Ed Online: Emerging Trends in Data Jobs
Data-Ed Online: Emerging Trends in Data Jobs
DATAVERSITY
Benchmarking IT Agility Final Report
Benchmarking IT Agility Final Report
Softchoice Corporation
DataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business Outcomes
DATAVERSITY
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
DATAVERSITY
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Stijn (Stan) Christiaens
Slides: How Automating Data Lineage Improves BI Performance
Slides: How Automating Data Lineage Improves BI Performance
DATAVERSITY
Data-Ed Webinar: Best Practices with the DMM
Data-Ed Webinar: Best Practices with the DMM
DATAVERSITY
Business Value Through Reference and Master Data Strategies
Business Value Through Reference and Master Data Strategies
DATAVERSITY
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data Blueprint
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DATAVERSITY
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
Data Blueprint
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
DATAVERSITY
Chapter12
Chapter12
Izaham
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
DATAVERSITY
Building the Modern Data Hub
Building the Modern Data Hub
Datavail
DataEd Slides: Data Management vs. Data Strategy
DataEd Slides: Data Management vs. Data Strategy
DATAVERSITY
Why Data Modeling Is Fundamental
Why Data Modeling Is Fundamental
DATAVERSITY
Big Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling Metadata
DATAVERSITY
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
DATAVERSITY
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
DATAVERSITY
Was ist angesagt?
(20)
Data-Ed Online: Emerging Trends in Data Jobs
Data-Ed Online: Emerging Trends in Data Jobs
Benchmarking IT Agility Final Report
Benchmarking IT Agility Final Report
DataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business Outcomes
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, A...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Slides: How Automating Data Lineage Improves BI Performance
Slides: How Automating Data Lineage Improves BI Performance
Data-Ed Webinar: Best Practices with the DMM
Data-Ed Webinar: Best Practices with the DMM
Business Value Through Reference and Master Data Strategies
Business Value Through Reference and Master Data Strategies
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
Chapter12
Chapter12
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Building the Modern Data Hub
Building the Modern Data Hub
DataEd Slides: Data Management vs. Data Strategy
DataEd Slides: Data Management vs. Data Strategy
Why Data Modeling Is Fundamental
Why Data Modeling Is Fundamental
Big Challenges in Data Modeling: Modeling Metadata
Big Challenges in Data Modeling: Modeling Metadata
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
The Chief Data Officer's Agenda: What a CDO Needs to Know about Data Quality
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...
Ähnlich wie Data-Ed Online: "Building a Solid Foundation: Data/Information Architecture"
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data Modeling
Data Blueprint
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
DATAVERSITY
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
DATAVERSITY
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
DATAVERSITY
Data-Ed Online - Making the Case for Data Governance
Data-Ed Online - Making the Case for Data Governance
Data Blueprint
Data-Ed Online: How Safe is Your Data? Data Security
Data-Ed Online: How Safe is Your Data? Data Security
DATAVERSITY
Data-Ed Online: MDM: Quality is not an Option but a Requirement
Data-Ed Online: MDM: Quality is not an Option but a Requirement
Data Blueprint
DataEd Online: Let's Talk Metadata Strategies and Successes
DataEd Online: Let's Talk Metadata Strategies and Successes
DATAVERSITY
Data-Ed Online: Practical Applications for Data Warehousing, Analytics, BI, a...
Data-Ed Online: Practical Applications for Data Warehousing, Analytics, BI, a...
Data Blueprint
DataEd Online: Show Me the Money - The Business Value of Data and ROI
DataEd Online: Show Me the Money - The Business Value of Data and ROI
DATAVERSITY
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data Blueprint
Data-Ed Online: Structuring Your Unstructured Data Document & Content Management
Data-Ed Online: Structuring Your Unstructured Data Document & Content Management
DATAVERSITY
MDM and Data Quality: Not an Option but a Requirement
MDM and Data Quality: Not an Option but a Requirement
DATAVERSITY
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data Blueprint
DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Archi...
DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Archi...
DATAVERSITY
Data-Ed: Unlocking business value through data modeling and data architecture...
Data-Ed: Unlocking business value through data modeling and data architecture...
Data Blueprint
Data-Ed: Get the Most Out of Your Tools: Data Management Technologies
Data-Ed: Get the Most Out of Your Tools: Data Management Technologies
Data Blueprint
Get the Most Out of Your Tools: Data Management Technologies
Get the Most Out of Your Tools: Data Management Technologies
DATAVERSITY
Data-Ed Online: How Safe is Your Data? Data Security Webinar
Data-Ed Online: How Safe is Your Data? Data Security Webinar
Data Blueprint
Data-Ed: Unlocking Business Value through Data Modeling and Data Architecture...
Data-Ed: Unlocking Business Value through Data Modeling and Data Architecture...
Data Blueprint
Ähnlich wie Data-Ed Online: "Building a Solid Foundation: Data/Information Architecture"
(20)
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
Data-Ed Online: Data Operations Management: Turning your Challenges into Success
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integrat...
Data-Ed Online - Making the Case for Data Governance
Data-Ed Online - Making the Case for Data Governance
Data-Ed Online: How Safe is Your Data? Data Security
Data-Ed Online: How Safe is Your Data? Data Security
Data-Ed Online: MDM: Quality is not an Option but a Requirement
Data-Ed Online: MDM: Quality is not an Option but a Requirement
DataEd Online: Let's Talk Metadata Strategies and Successes
DataEd Online: Let's Talk Metadata Strategies and Successes
Data-Ed Online: Practical Applications for Data Warehousing, Analytics, BI, a...
Data-Ed Online: Practical Applications for Data Warehousing, Analytics, BI, a...
DataEd Online: Show Me the Money - The Business Value of Data and ROI
DataEd Online: Show Me the Money - The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed Online: Structuring Your Unstructured Data Document & Content Management
Data-Ed Online: Structuring Your Unstructured Data Document & Content Management
MDM and Data Quality: Not an Option but a Requirement
MDM and Data Quality: Not an Option but a Requirement
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Archi...
DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Archi...
Data-Ed: Unlocking business value through data modeling and data architecture...
Data-Ed: Unlocking business value through data modeling and data architecture...
Data-Ed: Get the Most Out of Your Tools: Data Management Technologies
Data-Ed: Get the Most Out of Your Tools: Data Management Technologies
Get the Most Out of Your Tools: Data Management Technologies
Get the Most Out of Your Tools: Data Management Technologies
Data-Ed Online: How Safe is Your Data? Data Security Webinar
Data-Ed Online: How Safe is Your Data? Data Security Webinar
Data-Ed: Unlocking Business Value through Data Modeling and Data Architecture...
Data-Ed: Unlocking Business Value through Data Modeling and Data Architecture...
Mehr von DATAVERSITY
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
DATAVERSITY
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
DATAVERSITY
Exploring Levels of Data Literacy
Exploring Levels of Data Literacy
DATAVERSITY
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
DATAVERSITY
Make Data Work for You
Make Data Work for You
DATAVERSITY
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
DATAVERSITY
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
DATAVERSITY
Data Modeling Fundamentals
Data Modeling Fundamentals
DATAVERSITY
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
DATAVERSITY
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
DATAVERSITY
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
DATAVERSITY
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
DATAVERSITY
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
DATAVERSITY
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
DATAVERSITY
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
DATAVERSITY
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
DATAVERSITY
Data Strategy Best Practices
Data Strategy Best Practices
DATAVERSITY
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
DATAVERSITY
Data Management Best Practices
Data Management Best Practices
DATAVERSITY
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
DATAVERSITY
Mehr von DATAVERSITY
(20)
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
Exploring Levels of Data Literacy
Exploring Levels of Data Literacy
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Make Data Work for You
Make Data Work for You
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
Data Modeling Fundamentals
Data Modeling Fundamentals
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
Data Strategy Best Practices
Data Strategy Best Practices
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
Data Management Best Practices
Data Management Best Practices
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
Kürzlich hochgeladen
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
apidays
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
danishmna97
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Remote DBA Services
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
Kürzlich hochgeladen
(20)
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Data-Ed Online: "Building a Solid Foundation: Data/Information Architecture"
1.
Welcome!
TITLE Building a Solid Foundation: Data/Information Architecture Date: February 14, 2012 Time: 2:00 PM ET Presenter: Dr. Peter Aiken PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 1 © Copyright this and previous years by Data Blueprint - all rights reserved!
2.
TITLE
Meet Your Presenter: Dr. Peter Aiken • Internationally recognized thought-leader in the data management field with more than 30 years of experience • Recipient of the 2010 International Stevens Award • Founding Director of Data Blueprint (http://datablueprint.com) • Associate Professor of Information Systems at Virginia Commonwealth University (http://vcu.edu) • President of DAMA International (http://dama.org) • DoD Computer Scientist, Reverse Engineering Program Manager/ Office of the Chief Information Officer • Visiting Scientist, Software Engineering Institute/Carnegie Mellon University • 7 books and dozens of articles • Experienced w/ 500+ data management practices in 20 countries PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 2 © Copyright this and previous years by Data Blueprint - all rights reserved!
3.
Building a Solid
Foundation: Data/Information Architecture Dr. Peter Aiken: Building a Solid Foundation – Data/Information DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012
4.
TITLE
Building a Solid Foundation: Data/Information Architecture All organizations have data architectures. The question is: How effectively do they use them? This presentation provides a clear and concise understanding of what is meant by the term data architecture and the requirement that data and information architectures must be simultaneously managed. More importantly, organizations must understand what it means to use data architecture to support the implementation of organizational strategy. Participants will understand the requirements for an iterative, incremental approach to data architecture reengineering, the complimentary role of the Zachman Framework, and the ability to articulate the business value of data architecture projects and components. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 4 © Copyright this and previous years by Data Blueprint - all rights reserved!
5.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 5 © Copyright this and previous years by Data Blueprint - all rights reserved!
6.
TITLE
The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around • Primary data management functions focused around data delivery to the organization • Organized around several environmental elements Data Management Functions PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 6 © Copyright this and previous years by Data Blueprint - all rights reserved!
7.
TITLE
The DAMA Guide to the Data Management Body of Knowledge Amazon: http:// www.amazon.com/ DAMA-Guide- Management- Knowledge-DAMA- DMBOK/dp/ 0977140083 Or enter the terms "dama dm bok" at the Amazon search engine Environmental Elements PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 7 © Copyright this and previous years by Data Blueprint - all rights reserved!
8.
TITLE
What is the CDMP? • Certified Data Management Professional • DAMA International and ICCP • Membership in a distinct group made up of your fellow professionals • Recognition for your specialized knowledge in a choice of 17 specialty areas • Series of 3 exams • For more information, please visit: – http://www.dama.org/i4a/pages/ index.cfm?pageid=3399 – http://iccp.org/certification/ designations/cdmp PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 8 © Copyright this and previous years by Data Blueprint - all rights reserved!
9.
TITLE
Data Management PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 9 © Copyright this and previous years by Data Blueprint - all rights reserved!
10.
TITLE
Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Engineer data delivery systems. Data Support Operations Maintain data availability. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 10 © Copyright this and previous years by Data Blueprint - all rights reserved!
11.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 11 © Copyright this and previous years by Data Blueprint - all rights reserved!
12.
TITLE
Data Architecture Management from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 12 © Copyright this and previous years by Data Blueprint - all rights reserved!
13.
Niccolò Machiavelli (1469-1527)
TITLE He who doesn’t lay his foundations before hand, may by great abilities do so afterward, although with great trouble to the architect and danger to the building. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 13 © Copyright this and previous years by Data Blueprint - all rights reserved!
14.
TITLE
Polling Question #1 Most organizations do not formally manage any type of architectures. I have surveyed 500 different organizations around the world and found that not all of them have architectures in place. What do you think is the percentage of organizations worldwide with data architectures? a) 80% b) 60% c) 40% d) Less than 10% PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 14 © Copyright this and previous years by Data Blueprint - all rights reserved!
15.
TITLE
Typically Managed Architectures • Process Architecture – Arrangement of inputs -> transformations = value -> outputs – Typical elements: Functions, activities, workflow, events, cycles, products, procedures • Systems Architecture – Applications, software components, interfaces, projects • Business Architecture – Goals, strategies, roles, organizational structure, location(s) • Security Architecture – Arrangement of security controls relation to IT Architecture • Technical Architecture/Tarchitecture – Relation of software capabilities/technology stack – Structure of the technology infrastructure of an enterprise, solution or system – Typical elements: Networks, hardware, software platforms, standards/protocols • Data/Information Architecture – Arrangement of data assets supporting organizational strategy – Typical elements: specifications expressed as entities, relationships, attributes, definitions, values, vocabularies PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 15 © Copyright this and previous years by Data Blueprint - all rights reserved!
16.
Architecture
TITLE Architecture is both the process and product of planning, designing and constructing space that reflects functional, social, and aesthetic considerations. A wider definition may comprise all design activity from the macro-level (urban design, landscape architecture) to the micro-level (construction details and furniture). In fact, architecture today may refer to the activity of designing any kind of system and is often used in the IT world. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 16 © Copyright this and previous years by Data Blueprint - all rights reserved!
17.
TITLE
Information Architectures • … are plans, guiding the transformation of strategic organizational information needs into specific information systems development projects – Source: Internet • "Information architecture is a foundation discipline describing the theory, principles, guidelines, standards, conventions, and factors for managing information as a resource. It produces drawings, charts, plans, documents, designs, blueprints, and templates, helping everyone make efficient, effective, productive and innovative use of all types of information." – Source: Information First by Roger & Elaine Evernden, 2003 ISBN 0 7506 5858 4 p.1. • Defining the data needs of the enterprise and designing the master blueprints to meet those needs • Source: DM BoK PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 17 © Copyright this and previous years by Data Blueprint - all rights reserved!
18.
Data Architecture –
Better Definition TITLE • Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of organizational strategy* • All organizations have *Source: Aiken 2010 information architectures • Some are better understood and documented (and therefore more useful) than others PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 18 © Copyright this and previous years by Data Blueprint - all rights reserved!
19.
TITLE
Vocabulary is Important-Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 19 © Copyright this and previous years by Data Blueprint - all rights reserved!
20.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 20 © Copyright this and previous years by Data Blueprint - all rights reserved!
21.
TITLE
Architecture Examples: Good PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 21 © Copyright this and previous years by Data Blueprint - all rights reserved!
22.
TITLE
Architecture Examples: Bad PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 22 © Copyright this and previous years by Data Blueprint - all rights reserved!
23.
TITLE
Why is Data Architecture Important? • Poorly understood – Data architecture asset value is not well understood • Inarticulately explained – Little opportunity to obtain learning and experience • Indirectly experienced – Cost organizations millions each year in productivity/redundant and siloed efforts – Example: Poorly thought out software purchases PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 23 © Copyright this and previous years by Data Blueprint - all rights reserved!
24.
TITLE
What Questions Can Architectures Address? • How and why do the Human resources components interact? Policies, directives, • Where do they go? and rules • When are they needed? • Why and how will the changes be Communication facilities implemented? • What should be Computers managed organization- wide and what should be Management managed locally? responsibilities • What standards should be adopted? Software Data • What vendors should be chosen? • What rules should govern the decisions? • What policies should guide the process? PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 24 © Copyright this and previous years by Data Blueprint - all rights reserved!
25.
TITLE
Polling Question #2 The average organization contains information about customers in more than one place. What do you think is the average number of places internally in which organizations keep customer information? a) 2 b) 9 c) 17 d) 20 PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 25 © Copyright this and previous years by Data Blueprint - all rights reserved!
26.
TITLE
Who is Joan Smith? PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 26 © Copyright this and previous years by Data Blueprint - all rights reserved!
27.
TITLE
Data/Information Architectures Must be Managed Together ,&+-./0102".3%$-'$045$00 .6$"07+$-0+8"."8/.7+%8) !"#$%%&'$"($) !"#$%&'($") *+$) !"#"$% *+,-+./) !"#"$% !"#"$% &"'#$% ()"*+*,$% 1. Each FACT combines with one or more MEANINGS. – Each specific FACT and MEANING combination is referred to as a DATUM. 2. An INFORMATION is one or more DATA that are returned in response to a specific REQUEST 3. INTELLIGENCE is INFORMATION associated with its USES. – INFORMATION REUSE is enabled when one FACT is combined with more than one MEANING. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 27 © Copyright this and previous years by Data Blueprint - all rights reserved! [Built on defini1on by Dan Appleton 1983]
28.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 28 © Copyright this and previous years by Data Blueprint - all rights reserved!
29.
TITLE
Data Architecture Frameworks • TOGAF – The open group architectural framework • ANSI/IEEE 1471-2000 Standard – Defines specific design artifacts • FEA – Federal Enterprise Architecture/OMB • MODAF – UK Ministry of Defence • AGATE • A system of ideas for – France DGA Architecture Framework guiding analyses • Industry Models • A means of organizing – IBM/Teradata/Financial Transactions project data Inc. • Data integration • DODAF priorities decision – US DoD Architecture Framework making framework • Zachman Framework • A means of assessing progress PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 29 © Copyright this and previous years by Data Blueprint - all rights reserved!
30.
™
Names Names Where Why Names C o m p o s i t e I n t e g r a t i o n s A l i g n m e n t C o m p o s i t e I n t e g r a t i o n s A A Executive l i Products Forecast Sales Material Supply Ntwk General Mgmt Product Cycle New Markets l i Scope g g Contexts Product Types Plan Production Product Dist. Ntwk Product Mgmt Market Cycle Revenue Growth Perspective Sell Products Voice Comm. Ntwk Engineering Design Planning Cycle Expns Reduction n Parts Bins Customers Take Orders Train Employees Data Comm. Ntwk Manu. Process Ntwk Manu. Engineering Accounting Order Cycle Employee Cycle Cust Convenience Customer Satis. n m Territories Assign Territories Finance Maint. Cycle Regulatory Comp. m Orders Employees Develop Markets Maintain Facilities Parts Dist. Ntwk Personnel Dist. Ntwk Transportation Distribution Production Cycle Sales Cycle New Capital Social Contribution e e.g. Vehicles Accounts e.g. Repair Products Record Transctns e.g. etc., etc. e.g. Marketing Sales e.g. Economic Cycle Accounting Cycle e.g. Increased Yield Increased Quality e n n t t T List: Inventory Types List: Process Types List: Distribution Types List: Responsibility Types List: Timing Types List: Motivation Types T r r a a n n s s Business Mgmt f o e.g.: primitive model: e.g.: composite model: f o Business e.g. e.g. e.g. e.g. e.g. e.g. Perspective r m r m Concepts a a t t i Business Entity Business Transform Business Location Business Role Business Interval Business End i o o n Business Relationship Business Input/Output Business Connection Business Work Product Business Moment Business Means n s s Architect e.g. e.g. e.g. e.g. e.g. e.g. System Perspective Logic System Entity System Transform System Location System Role System Interval System End System Relationship System Input /Output System Connection System Work Product System Moment System Means Engineer e.g. e.g. e.g. e.g. e.g. e.g. Technology Perspective Physics Technology Entity Technology Transform Technology Location Technology Role Technology Interval Technology End Technology Relationship Technology Input /Output Technology Connection Technology Work Product Technology Moment Technology Means A A l l Technician i g e.g. e.g. e.g. e.g. e.g. e.g. i g Tool Perspective n m n m e Components e n n t t Tool Entity Tool Transform Tool Location Tool Role Tool Interval Tool End T Tool Relationship Tool Input /Output Tool Connection Tool Work Product Tool Moment Tool Means T r r a a n n Enterprise s f Inventory Process Distribution Responsibility Timing Motivation s f Operations Perspective o r Instantiations Instantiations Instantiations Instantiations Instantiations Instantiations o r Instances m m a a t t The i o i o The Enterprise n s n s Enterprise PRODUCED BY m p o s i t e C o I n t e g r a t i o n s A l i g n m e n t CLASSIFICATIONs i t e DATEe g r a t i o n s SLIDE C o m p o I n t *Horizontal integration lines DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION are shown for example purposes 02/06/12 30 only and are not a complete set. Composite, integrative rela- tionships connecting every cell © Copyright this and previous years by Data Blueprint - all rights reserved! Names horizontally potentially exist.
31.
Data Architectures are
Developed in Response to Organizational Needs satisfy specific organizational needs Organizational Needs become instantiated and integrated into an Data/Information Architecture authorizes and ! articulates ! " ! " ! " !"#$%&'($")*+,-.&) " /.012%.&."-,3 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 02/06/12 31 © Copyright this and previous years by Data Blueprint - all rights reserved!
32.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 32 © Copyright this and previous years by Data Blueprint - all rights reserved!
33.
TITLE
Data Architecture Management Building Blocks √ √ √ √ √ √ √ from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 33 © Copyright this and previous years by Data Blueprint - all rights reserved!
34.
TITLE
Data Architecture Management Overview from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 34 © Copyright this and previous years by Data Blueprint - all rights reserved!
35.
TITLE
Data Architecture Mgmt Goals and Principles 1) To plan with vision and foresight to provide high quality data 2) To identify and define common data requirements 3) To design and implement structures and plans to meet the current and long-term data requirements of the enterprise from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 35 © Copyright this and previous years by Data Blueprint - all rights reserved!
36.
TITLE
Polling Question #3 What percentage of your data handles most of your information needs? a) 80% b) 50% c) 20% d) 5% PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 36 © Copyright this and previous years by Data Blueprint - all rights reserved!
37.
TITLE
Data Architecture Mgmt Activities 1) Understand enterprise information needs 2) Develop and maintain the enterprise data model 3) Analyze and align with other business models 4) Define and maintain – Data technology architecture – Data integration architecture – Data Warehouse/BI architecture – Enterprise taxonomies and namespaces – Metadata architecture from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 37 © Copyright this and previous years by Data Blueprint - all rights reserved!
38.
TITLE
Data Architecture Mgmt Primary Deliverables • Enterprise Data Model • Information Value Chain Analysis • Data Technology Architecture • Data Integration/MDM Architecture • DW/BI Architecture • Metadata Architecture • Enterprise Taxonomies and Namespace • Document Management Architecture • Metadata from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 38 © Copyright this and previous years by Data Blueprint - all rights reserved!
39.
TITLE
Polling Question #4 Who is responsible for the data? a) Everyone b) CIO c) Data Producers d) Data Stewards PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 39 © Copyright this and previous years by Data Blueprint - all rights reserved!
40.
TITLE
Data Architecture Mgmt Roles and Responsibilities Managers and Executives Participants • Data Stewards Consumers • SMEs • Data Stewards • Data Architects • Data Architects • Data Analysts • Data Analysts & Modelers • Database Administrators • Other Enterprise Architects • Software Developers • DM Executives & Managers • Project Managers • CIO & other Executives • Data Producers • Database Administrators • Knowledge Workers • Data Model Administrators Suppliers • Executives • Data Stewards • Data Producers • Information Consumers from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 40 © Copyright this and previous years by Data Blueprint - all rights reserved!
41.
TITLE
Data Architecture Mgmt Technology • Data Modeling/CASE Tools • Model Management Tool • Metadata Repository • XML Processors/Servers • Data Discovery/Profiling Tools • Office Productivity/Collaboration Tools from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 41 © Copyright this and previous years by Data Blueprint - all rights reserved!
42.
TITLE
Top 3 Things a Data Architecture Tool Needs to have in 2012 1. True business glossary – Capturing the language of the business independent of data structure, independent of physical form, is the ideal way to properly identify, classify, and manage disparate information sources 2. Business process and other business models – These models define the context for information that we manage. By aligning all information concepts with all uses of that same concept across all business units and all business use cases, we can ensure a consistent definition of that information regardless of which subset of the attributes we implement in a given application or technology 3. Web-based collaboration – This one is really about sharing the metadata with folks that are not using a modeling tool but have a say in this knowledge set. Source: “Top 3 Things a Data Architecture Tool Needs to Have in 2012” by David Dichmann; http://blogs.sybase.com/dichmann/2012/01/top-3-things-a-data-architecture-tool-needs-to-have-in-2012/ PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 42 © Copyright this and previous years by Data Blueprint - all rights reserved!
43.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 43 © Copyright this and previous years by Data Blueprint - all rights reserved!
44.
TITLE
Guiding Principles & Best Practices 1. Data architecture is an integrated set of specification artifacts (master blueprints) used to define data requirements, guide data integration, control data assets, and align data investments with business strategy 2. Enterprise data architecture is part of the overall enterprise architecture, along with process architecture, business architecture, systems architecture, and technology architecture 3. Enterprise data architecture includes three major categories of specifications: (1) The enterprise data model (2) Information value chain analysis (3) Data delivery architecture from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 44 © Copyright this and previous years by Data Blueprint - all rights reserved!
45.
TITLE
Guiding Principles & Best Practices, cont’d 4. Enterprise data architecture is about more than just data. It helps establish the semantics of an enterprise, using a common business vocabulary 5. An enterprise data model is an integrated subject-oriented data model defining the essential data used across an entire organization. Build an enterprise data model in layers: – Subject area overview – Conceptual views of entities and relationships for each subject area – More detailed, partially attributed views of these same subject areas 6. Information value chain analysis defines the critical relationships between data, processes, roles and organizations, and other enterprise elements from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 45 © Copyright this and previous years by Data Blueprint - all rights reserved!
46.
TITLE
Guiding Principles & Best Practices, cont’d 7. Data delivery architecture defines the master blueprint for how data flows across databases and applications. This ensures data quality and integrity to support both transactional business processes and business intelligence reporting and analysis 8. Architectural frameworks like TOGAF and The Zachman Framework help organize collective thinking about architecture. This allows different people with different objectives and perspectives to work together to meet common interests. from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 46 © Copyright this and previous years by Data Blueprint - all rights reserved!
47.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 47 © Copyright this and previous years by Data Blueprint - all rights reserved!
48.
TITLE
Data Architecture is non-trivial !"#$%&'()*+,-$.+)'")/(,+)-")0' ()*+,-$.+)'-$)$#"-")0'7,+#,$-' 12&'3"*$4!056 • The successful 1(*'"8(90")056 development of a "80",)$!' organizational data 3(,"%./"9:'7+!(%&:',"9+4,%"96 +,#$)(=$.+)$!' ()0"#,$.+)' architecture requires a $%./(."96 degree of information %++,3()$.+)';(0<6 system development: !"#$%&%'($)*'+$, – More often spoken about -$./'%$0$"#(1 ()0",)$!' than sought after, and +,#$)(=$.+)$!' !"#"$ ()0"#,$.+)' – More often sought after %&'()#*'#+&*$ ,*-+)&*.*/#01 $%./(."96 than achieved. 2($%, • Strategic planning -$./'%$0$"#(1 %++,3()$.+)';(0<6 without the benefit of a 49",96 +0<",6 data architecture is just *""32$%>'6 249()"99'' a ritual rain dance. 3+-$()96 PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 48 © Copyright this and previous years by Data Blueprint - all rights reserved!
49.
TITLE
Largely Ineffective DM Investments • Approximately, 10% percent of organizations achieve parity and (potential positive returns) on their DM investments. • Only 30% of DM investments achieve tangible returns at all. • Seventy percent of organizations have very small or no tangible return on their DM investments. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 49 © Copyright this and previous years by Data Blueprint - all rights reserved!
50.
TITLE
Outline 1. Data Management Overview 2. What is Data/Information Architecture? 3. Why is Data/Information Architecture Important? 4. Data/Information Architecture Frameworks 5. Data/Information Architecture Building Blocks 6. Guiding Principles & Best Practices 7. Considerations for Improving Data Architecture Utility within your Organization 8. Take Aways, References & Q&A PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 50 © Copyright this and previous years by Data Blueprint - all rights reserved!
51.
TITLE
Data Architecture Take Aways • What is an information architecture? – A structure of data-based information assets supporting implementation of organizational strategy (or strategies) – Most organizations have data assets that are not supportive of strategies - i.e., information architectures that are not helpful – The really important question is: how can organizations more effectively use their information architectures to support strategy implementation? • What is meant by use of an information architecture? – Application of data assets towards organizational strategic objectives – Assessed by the maturity of organizational data management practices – Results in increased capabilities, dexterity, and self awareness – Accomplished through use of data-centric development practices (including taxonomies, stewardship, and repository use) • How does an organization achieve better use of its information architecture? – Continuous re-development; the starting point isn't the beginning – Information architecture components must typically be reengineered – Using an iterative, incremental approach, typically focusing on one component at a time and applying formal transformations PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 51 © Copyright this and previous years by Data Blueprint - all rights reserved!
52.
TITLE
References Websites PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 52 © Copyright this and previous years by Data Blueprint - all rights reserved!
53.
TITLE
References, cont’d PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 53 © Copyright this and previous years by Data Blueprint - all rights reserved!
54.
TITLE
References, cont’d PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 54 © Copyright this and previous years by Data Blueprint - all rights reserved!
55.
TITLE
Questions? + = It’s your turn! Use the chat feature to submit your questions to Peter now. PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 55 © Copyright this and previous years by Data Blueprint - all rights reserved!
56.
TITLE
Upcoming Events March Webinar: Practical Data Modeling March 13, 2012 @ 2:00 PM ET/11:00 AM PT April Webinar: Data Operations Management: Turning your Challenges Into Success April 10, 2012 @ 2:00 PM ET/11:00 AM PT Sign up here: • www.datablueprint.com/webinar-schedule • www.Dataversity.net Brought to you by: PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 56 © Copyright this and previous years by Data Blueprint - all rights reserved!
57.
TITLE
Comparative Assessment Results Data Program Coordination Challenge Organizational Data Integration Challenge Data Stewardship Data Development Data Support Operations Challenge 0 1 2 3 4 5 Nokia Industry Competition All Respondents PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 57 © Copyright this and previous years by Data Blueprint - all rights reserved!
58.
TITLE
Data-Centric Development Flow • In support of strategy, the organization develops specific goals/ objectives Strategy • The goals/objectives drive the development of specific data/ information assets with an eye to Goals/ organization-wide usage Objectives • Network/infrastructure components are developed to support organization-wide use of data Data/Information • Development of systems/applications is derived from the data/network architecture Network/Infrastructure • Advantages of this approach: – Data/information assets are developed from an organization-wide perspective – Systems support organizational data/ information needs and compliment Systems/Applications organizational process flows – Data/information reuse is maximized Original articulation from Doug Bagley @ Walmart PRODUCED BY CLASSIFICATION DATA SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/14/2012 58 © Copyright this and previous years by Data Blueprint - all rights reserved!
Jetzt herunterladen