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C - InfoSysArchitecture - Data Architecture - Coggle Diagram
C - InfoSysArchitecture - Data Architecture
considerations for the implementation
Order
Data and Application Archtecture
may be developed in either order
in parallel
Approach
Objectives
Develop the Target Information Systems
Data and Application
describing how the enterprise’s
ISA
enable
Business Architecture
Architecture Vision
in a way that addresses the
Request for Architecture Wor
k
stakeholder concerns
Identify candidate Architecture Roadmap components
based upon
gaps between
Baseline Information System
Target Information System
Objectives
Develop the Target Data Architecture
Identify candidate Architecture Roadmap
Baseline and Target Data Architectures
Inputs :
Data Principles
Data is an Asset
Data is Shared
Data is Accessible
Data Trustee
Common Vocabulary
and Data Definitions
Data Security
Output
Statement of Architecture Work, updated if necessary
Validated data principles, or new data principles
Draft Architecture Definition Document
Components
Baseline Data Architecture
Target Data Architecture
models for business data
logical data
data management process
Data Entity/
Business Function matrix
Data Architecture views
Draft Architecture Requirements Specification
Components
Gap Analysis results
Data interoperability requirements (e.g., XML schema, security policies)
Areas where the
Business Architecture may need to change
in order to comply with
changes in the Data Architecture
Constraints on the Technology Architecture about to be designed
Updated business requirements
Updated application requirements
Data Architecture components of an Architecture Roadmap
Steps
Select reference models, viewpoints, and tools
Summary
select relevant Data
Architecture viewpoints
various time dimensions
(real-time, reporting period, event-driven, etc.),
locations;
business processes
(regulatory bodies, users, generators, subjects, auditors, etc.
appropriate tools and techniques to be used
data capture
modeling,
analysis
select relevant
Data Architecture resources
stakeholders, concerns
on the basis of the business drivers
Determine Overall Modeling Process
data models
ARTS data model
the Pipeline
Open Data Standard (PODS) data model
DODAF Logical Data Model
Professional Petroleum Data
Management (PPDM) Association data model
Energistics Epicenter
data model
viewpoint
select the
models needed
to support the specific view
process for developing a Data Architecture
Collect data-related models
Rationalize data requirements
align with any existing enterprise data catalogs and models
Update and develop matrices across the architecture
relating data
business services
business functions
access rights
applications
Elaborate Data Architecture views by
by examining how data
distributed,
migrated,
created,
secured,
archived
Identify Required Catalogs, Matrices, and Diagrams
Matrices
Data Entity/Business
Function matrix
Application/Data matrix
Diagrams
Conceptual Data diagram
Logical Data diagram
Data Dissemination diagram
Data Lifecycle diagram
Data Security diagram
Data Migration diagram
Catalogs
Data Entity/Data
Component catalog
Identify Types of Requirement to be Collected
Develop Baseline Data Architecture Description
Develop Target Data Architecture Description
Perform Gap Analysis
Define candidate roadmap components
Resolve impacts across the Architecture Landscape
Conduct formal stakeholder review
Finalize the Data Architecture
Create Architecture Defi nition Document