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The datacentric enterprise an EA pattern

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Forces that could influence the match between the pattern and enterprise. ... Defined pattern for data centric enterprises. No perfect match, but might save a ... – PowerPoint PPT presentation

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Title: The datacentric enterprise an EA pattern


1
The data-centric enterprisean EA pattern
  • Natty Gur
  • Enterprise architecture group

2
Agenda
  • What are EA patterns?
  • Pattern definition.
  • Business architecture blueprint.
  • Information architecture blueprint.
  • System architecture blueprint.
  • Infrastructure architecture blueprint.
  • Governance steps blueprint (lack of time)
  • Summary

3
What are design patterns?
  • Design patterns proven solutions for well known
    problems.
  • Should reference
  • Name that describes the pattern
  • Problem to be solved by the pattern
  • Context or settings, in which problems occurs
  • Forces that could influence the problem or its
    solution
  • Proposed solution to the problem
  • Relations to other patterns and behind the
    solution
  • Known uses

4
What are EA patterns?
  • EA patterns proven architecture blueprints for
    well defined type of enterprises.
  • Should reference
  • Name of the pattern
  • definitions of a typical enterprise that matches
    the pattern.
  • Forces that could influence the match between the
    pattern and enterprise.
  • Blueprints of architectures
  • Relations to other patterns
  • Known uses of the pattern

5
Pattern definitions
  • The "data-centric enterprise"
  • definitions of the typical enterprise
  • Organization for which information is the main
    asset such as Intelligent agencies, IRS,
    Gartner,
  • Organization which sees data and data sharing
    across the organization as one of the business
    main concerns.
  • Used to be central computer organization (MF)

6
Forces
  • CEO changed vision, mission
  • Global economic atmosphere
  • Acquisitions and merges
  • Previous attempts to run EA

7
Business blueprint
  • Business processes are integrated and share data.
  • Many lane switching in enterprise BPMNs
  • BP that gather information from different sources
    into shared repository.
  • BP use data intensively
  • BP success based on data.
  • As a rule of thumb, most users can run any core
    BP.

8
Integrated BPM lanes
Non data-centric
Data-centric
Grid BP
9
Business blueprint
  • User should work against one integrated system.
  • Need for dynamic and changeable views of
    information.
  • Duplication of data or data silos exist, hurt the
    business and should be eliminated

10
Information blueprint
  • Information is the atomic element on which the
    enterprise is based.
  • Classification of BP data
  • Core/administrative
  • Core
  • Supportive
  • Administrative
  • Its hard to define clear boundaries.
  • Information worlds / By manage users
  • Group of data items managed by well defined group
    of workers in the enterprise.
  • Those data items managed by the group but
    accessed by other groups.

11
Information blueprint
  • Shared/Sector
  • Shared data managed by information world but
    being used by other users in the enterprise.
  • Sector data managed by information world. These
    are NOT used by any other group.
  • Usually every group works with certain raw data
    to produce data that will be shared by others.
  • Flower diagram

12
Information blueprint shared/sector
13
Information blueprint
  • Information worlds expose
  • Visual presentation
  • Information world Logic
  • Data management (CRUD).
  • Information worlds are basic Lego parts for
    building systems
  • Cross world indexing/Retrieval
  • Each information world should define
  • Access principals to information world
  • Security
  • QoS

14
Information blueprint
  • Mapping existing physical schemas to information
    worlds.
  • Possibility of historical archive for unused
    data.
  • Information worlds solve semantic ambiguities for
    the same notion in different worlds.
  • Telephone, Bank account
  • Create common enterprise syntax.
  • Prevent duplications and silos

15
Systems blueprint
  • System as a host for information world.
  • System gathering of information worlds with
    workflow.
  • System of Systems (SOS).
  • Systems developed by different groups in
    different times should be operated as one system,
    from the user point of view.
  • Exposing interfaces and services for current and
    future systems.
  • Technical dependant
  • Technical neutral

16
Systems blueprint
  • Using HTML presentation to get
  • Integrated systems on one screen.
  • Enable swift flow and calling stack while moving
    between systems.
  • The same look and feel for all systems
  • Personalization of views.
  • Basic system structure
  • Information world
  • Logic/flow
  • Expose services
  • Consume services

17
Systems blueprint
  • ODP systems.
  • 8 RM-ODP transparencies.
  • Hexagonal over layer
  • MVC II for reuse, maintain and infrastructures
  • Naming services / proxies
  • Application Server
  • Basic Interface to implement (by all information
    worlds)
  • IsDataContained
  • IsDataValid
  • ReturnDataByIdentifiers

18
Systems blueprint
  • When starting a system you need to define which
    Information worlds should be implemented by your
    system.
  • System wont access data directly, just by calling
    the right information world.
  • Using the development cycle as part of the
    governance.

19
Infrastructure blueprint
  • DB / OODB
  • Message queuing/delivering
  • Morphology engine.
  • Storage Las/Nas
  • Backup
  • Instant messaging
  • Load balancing
  • Manage users and permissions AD
  • Web servers

20
Infrastructure blueprint
  • Indexing/retrieval engine
  • GIS server
  • Extract knowledge from un-structural documents
  • Application servers
  • Names extraction engine
  • Switches, hubs, firewalls
  • EAI
  • Document management
  • Mail server

21
Infrastructure blueprint
22
Relations
  • Do you know other enterprise architecture
    patterns?
  • What are the relations?

23
Uses
  • At least two governmental bodies in Israel.
  • MIT (variation of )
  • Do you know others?

24
Summary
  • Defined pattern for data centric enterprises
  • No perfect match, but might save a lot of time
  • Changes and adaptations will be more then
    appreciated.

25
Thank you
  • Natty Gur
  • E-mail natty_at_theeagroup.net
  • Site http//www.theeagroup.net
  • The enterprise architects
  • 513b Plaza Rd.
  • Vestal, NY 13850
  • (607) 330-1744
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