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An Enterprise Data Architects thoughts on…



        Data Architecture Deliverables
       for Software Development Orgs
                                                                                      …for proper risk management




Lars E Martinsson
www.linkedin.com/in/larsmartinsson
Content and opinions in this material are those of the author. Opinions may not represent those of any prior, current or future employer
Content
•   Presentation Goal
•   Data Architecture Influencers (Roles)
•   Data Architecture at 100 000 feet (Disciplines)
•   Data Architecture at 10 000 feet (Domains)
•   Data Architecture at Ground Level (Deliverables)
•   More information (Why, How, Templates)
Presentation Goal
• This presentation lists over 200 data architecture
  related deliverables
   – Based on decades of work building large scale software
   – Consider to complete stated deliverables if you are in
     business of developing enterprise class-or-size software
   – If a deliverable is skipped the tentative risk and cost should
     be discussed with relevant stakeholders
• The goal is to remind Enterprise Data Architects
   – What deliverables should be created, and for each state
   – What role the architect plays (delivers, approves, consumes)
Data Architecture Influencers (Roles)
 Message: Managing The Data Architecture is a collaborative effort
          “Mainly Defines and Governs” “Mainly Requests and Implements”
                     General Manager      Customer Council        Bleeding Edge Customer
              Chief Technology Officer    Product Portfolio Manager

            Architecture Review Board     Product Steering Committee        Product Manager

      Enterprise Applications Architect   Product Architect       Product Analyst

              Enterprise Data Architect   Product Data Modeler        Warehouse Architect

                   Data Privacy Officer   Product Data Librarian      Science Data Architect

          Enterprise Software Architect   IT Architect   Database Administrator

Auditor   Enterprise Security Architect   IT Security Architect

Vendor    Enterprise Business Architect   Development Manager
Data Architecture at 100 000 Feet (Disciplines)
1.   Data Asset Discovery
2.   Data Strategy
3.   Data Governance
4.   Data Modeling
5.   Data Access
6.   Data Content Management
7.   Data Analysis
8.   Data Life Cycle Management
9.   Data Management Practice
Data Architecture at 10 000 feet (Domains)
1. Data Asset Discovery                     6. Data Content Management
    – Enterprise Modeling                       – Reference Data
    – Functional Modeling                       – Master Data
    – Data Store Inventory                      – Documents
2. Data Strategy
                                            7. Data Analysis
    – Roadmap
    – Technology                                –   Meta Data
3. Data Governance                              –   Data Warehouse
    – Policies, Processes, QA                   –   Business Intelligence
    – Standards                                 –   Analytics Modeling
    – Reviews                               8. Data Life Cycle Management
4. Data Modeling                                – Packaging
    –   Enterprise Data Modeling                – Deployment
    –   Information Architecture Modeling
                                                – Operation
    –   Information Analysis Modeling
    –   Physical Data Modeling              9. Data Management Practice
5. Data Access                                  – Project Sponsorship
    – Data Security Standard                    – Professional Development
    – Product Security                          – Collaboration and Evangelism
Discipline 1: Data Asset Discovery




•   This discipline provides info that is crucial to define and ongoing refine the Data Architecture
•   Priority from a Data Architecture perspective. Full Role Names can be found on the role slide
Discipline 2: Data Strategy




•   The Enterprise Data Architect is heavily involved in defining roadmap, setting scope
    and follow-up on implementations as well as compile lists of data technologies used
•   Coordinating data related tool use cross the Enterprise may yield significant synergies
•   Consider these items even if you want to be “lightweight” on governance (next slide)
Discipline 3: Data Governance




•   Many other important Design Patterns exist – those mentioned only representative
Discipline 4: Data Model Management
Discipline 5: Data Access
Discipline 6: Data Content Management
Discipline 7: Data Analysis
Discipline 8: Data Life Cycle Management
Discipline 9: Data Management Practice
Proposed Next Step



    This presentation listed over 200 deliverables an
    Enterprise Data Architect should evangelize and is a
    light introduction to “frame the scope” to anyone
    thinking about Enterprise Data Architecture
    To successfully execute on each deliverable more
    information must be created (e.g. deliverable
    descriptions, why/benefits, contributing roles,
    exit/measure criteria, ready-to-use templates etc.)




Feedback? Contact me through LinkedIn www.linkedin.com/in/larsmartinsson

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Enterprise Data Architecture Deliverables

  • 1. An Enterprise Data Architects thoughts on… Data Architecture Deliverables for Software Development Orgs …for proper risk management Lars E Martinsson www.linkedin.com/in/larsmartinsson Content and opinions in this material are those of the author. Opinions may not represent those of any prior, current or future employer
  • 2. Content • Presentation Goal • Data Architecture Influencers (Roles) • Data Architecture at 100 000 feet (Disciplines) • Data Architecture at 10 000 feet (Domains) • Data Architecture at Ground Level (Deliverables) • More information (Why, How, Templates)
  • 3. Presentation Goal • This presentation lists over 200 data architecture related deliverables – Based on decades of work building large scale software – Consider to complete stated deliverables if you are in business of developing enterprise class-or-size software – If a deliverable is skipped the tentative risk and cost should be discussed with relevant stakeholders • The goal is to remind Enterprise Data Architects – What deliverables should be created, and for each state – What role the architect plays (delivers, approves, consumes)
  • 4. Data Architecture Influencers (Roles) Message: Managing The Data Architecture is a collaborative effort “Mainly Defines and Governs” “Mainly Requests and Implements” General Manager Customer Council Bleeding Edge Customer Chief Technology Officer Product Portfolio Manager Architecture Review Board Product Steering Committee Product Manager Enterprise Applications Architect Product Architect Product Analyst Enterprise Data Architect Product Data Modeler Warehouse Architect Data Privacy Officer Product Data Librarian Science Data Architect Enterprise Software Architect IT Architect Database Administrator Auditor Enterprise Security Architect IT Security Architect Vendor Enterprise Business Architect Development Manager
  • 5. Data Architecture at 100 000 Feet (Disciplines) 1. Data Asset Discovery 2. Data Strategy 3. Data Governance 4. Data Modeling 5. Data Access 6. Data Content Management 7. Data Analysis 8. Data Life Cycle Management 9. Data Management Practice
  • 6. Data Architecture at 10 000 feet (Domains) 1. Data Asset Discovery 6. Data Content Management – Enterprise Modeling – Reference Data – Functional Modeling – Master Data – Data Store Inventory – Documents 2. Data Strategy 7. Data Analysis – Roadmap – Technology – Meta Data 3. Data Governance – Data Warehouse – Policies, Processes, QA – Business Intelligence – Standards – Analytics Modeling – Reviews 8. Data Life Cycle Management 4. Data Modeling – Packaging – Enterprise Data Modeling – Deployment – Information Architecture Modeling – Operation – Information Analysis Modeling – Physical Data Modeling 9. Data Management Practice 5. Data Access – Project Sponsorship – Data Security Standard – Professional Development – Product Security – Collaboration and Evangelism
  • 7. Discipline 1: Data Asset Discovery • This discipline provides info that is crucial to define and ongoing refine the Data Architecture • Priority from a Data Architecture perspective. Full Role Names can be found on the role slide
  • 8. Discipline 2: Data Strategy • The Enterprise Data Architect is heavily involved in defining roadmap, setting scope and follow-up on implementations as well as compile lists of data technologies used • Coordinating data related tool use cross the Enterprise may yield significant synergies • Consider these items even if you want to be “lightweight” on governance (next slide)
  • 9. Discipline 3: Data Governance • Many other important Design Patterns exist – those mentioned only representative
  • 10. Discipline 4: Data Model Management
  • 12. Discipline 6: Data Content Management
  • 13. Discipline 7: Data Analysis
  • 14. Discipline 8: Data Life Cycle Management
  • 15. Discipline 9: Data Management Practice
  • 16. Proposed Next Step This presentation listed over 200 deliverables an Enterprise Data Architect should evangelize and is a light introduction to “frame the scope” to anyone thinking about Enterprise Data Architecture To successfully execute on each deliverable more information must be created (e.g. deliverable descriptions, why/benefits, contributing roles, exit/measure criteria, ready-to-use templates etc.) Feedback? Contact me through LinkedIn www.linkedin.com/in/larsmartinsson
  翻译: