asg dama data governance
TRANSCRIPT
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Copyright2010 Allen Systems Group, Inc.
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Metadata: The Critical Foundation for
Data GovernanceMay 17, 2013
www.asg.com
Copyright 2013 Allen Systems Group Inc. This document is unpublished and the foregoing notice is affixed to protect ASG in
the event of inadvertent publication. All rights reserved. No part of this document may be reproduced in any form, including
photocopying or transmission electronically to any computer, without prior written consent of ASG. The information contained
in this document is confidential and proprietary to ASG and may not be used or disclosed except as expressly authorized in
writing by ASG
Ravi ChivukulaDirector, Business Solutions
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Agenda
What Metadata is
Challenges with Data Governance
Features of Metadata that help address
Governance challenges
Types of Metadata and where it can be found
How to use Metadata to build an effective
Governance program
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What is Metadata?
Business Metadata
Business
Policies
Information
Policies
Business
Rules
Services
Service
Directory
Service
Users
Interfaces
Data Governance
Information
Usage
Information
Quality
Data Quality
SLAs
Access
Control
Information Architecture
Entity
Models
Relational
Tables
Master Object
Directory
Data Elements
Critical Data
Elements
Data Element
Definitions
Data
Formats
Aliases &
Synonyms
Reference Metadata
Conceptual
Domains
Value
Domains
Reference
Tables
Mappings
Business Definitions
Concepts Business
Terms
Definitions Semantics
Source: Master Data Management by David Loshin
I Dont Know What Metadata Is
But I Can Sure Tell When I See It !!
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Highly Complex Data Architectures
Data Warehouse
Acct
Sales
Mktg
CRM
HR
Operational
Data store
Reports
Analytics
Dashboards
Corporate
Visualization
Cross-Channel
Analysis
MDM Multi-platform Usage
E T L
Social Media
Cloud
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Source physical entitiesAnalyze physical entities
Develop Logical and
Conceptual entities
Map physical to Logical
and then to Conceptual
entities
Source Conceptual
mappings from LOB
Develop Enterprise
entities
Consolidate and map to
Enterprise entities
Identify Enterprise
entities for Governance
Identify Attributes of
governable entities
Identify governanable
attributes
LOB RepositoryEnterprise
Repository
Enterprise
Attributes
Metadata: Roadmap for Data Governance
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Devil maybe in the data, but sinful to ignore Rules!
Most Metadata is benign but Business rules are not!Business Rules manipulate your data when you are not looking!
Business Rules represent the collective thinking of the enterprise
Governance reaches full potential when it manages Business Rules
Legal Corporate IT Finance Analysts
RuleRule
Rule
RuleRule
Rule
RuleRule
Rule
RuleRule
Rule
RuleRule
Rule
Business rules is the metadata that glues your enterprise data6
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Analyze and Troubleshoot Issues
Business Glossary
/Conceptual layer
Enterprise Logical
layer
LOB/Application
Logical layer
Physical layer
Database schema
Upstream/Downstream
Data traceability
Enables robust
impact analysis at the
Enterprise level
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Metadata Stack
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Business
Vocabulary
Data
Lineage
Root-cause
Anaysis.
History /
Versioning
Enterprise
Scale
Metadata
Regulatory Compliance
Data
Transparency
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Deep Dive
Into
Metadata
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Versions and Configurations
Versioning allows storingdifferent versions of an item,each displaying only thoseproperties and details about the
item that are relevant for aparticular context.
A Configuration is a set oflogically associated items (e.g.,the items pertaining to a
software application at differentdevelopment stages) and thusdefine particular views of theitems of a database.
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Extended Data Lineage
OperationalSystem
StagingDatabase
OperationalSystem
OperationalSystem
Transform DataWarehouse
Transform
Data Mart Data Mart Data Mart
Report Report Report
A good lineage solutionwill allow this flow to bediagrammed, with userrecognizable names inthe boxes
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Deeper Data Lineage
Transform
ApplicationCode
Implements
Process / Data Flow Process / Data Flow
BusinessProcess
Implemented By
Data Lineage can bevery complicated, andgovernance requires theability to dive deep intolineage
The flow may
not just be datait could be
messages in aqueuing system or
even businessprocesses
The flow may
be across manysystems and fromthe highest levelof abstraction to
the most granulardetail
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Metadata Sources for Lineage
OperationalStores
ETLTechnology
Data
Warehouse /Data marts
ReportingTechnologies
Business TermsBusiness Process
Models
Data Models Applications
Traditional LineageDeep Lineage
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Predominant Metadata Sources
DBMS's Modeling Tools
Transformation
Language ETL Tools BI Tools
DB2/UDB ARIS C/C++ Data Stage Business ObjectsGreenplum Casewise COBOL Informatica CognosMS SQL Server
Erwin JAVA SSIS SSAS/SSRS
OraclePowerDesigner
SQL / Stored
Procedures
Sybase Rational ToolsTeradata System Architect
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Metadata Repository
ASG-Rochade / Business Glossary
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The Components Of A ComprehensiveLineage Approach
DataModel
ProcessModel
DisplayModel
Lineage
Solution
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A View Of A Core Data Model
Contains Concepts forbroad and deep lineage
Is technology agnostic
Connects naturally toother RepositoryInformation Modelconstructs
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Build Knowledge Base
Basic Process Flow
Discover Capture
Lineage
(Where)
Impact
(How)
Rationalize
Analyze
Metadata Capture
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Display Model
Visualization can be selected to Display only selected attributes
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A Look at Business Metadata
Data Model
Table
Column
Relationship
Attribute
Entity
Database
Business
Term
Concepts
Conceptual ModelRelationship
Attributes
Definitions
Contexts
Metrics/Standards
Process(App/ETL)
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How Does a Glossary help Governance
Unique number assigned
by the company
Password created by the
Customer/user
Identifier
Authentication
Unique number assigned
by the Govt.
Password created by the
Customer/user
Identifier
Authentication
Customer
Social
Security
Number
BUSINESS TERMS
Harmonization Through CollaborationThe collaborative platform exposes variances that impact semantic consistency
Governance Through Collaboration
A collaborative platform allows interested individuals to track those business terms,
data elements, concepts, and reference metadata that is relevant to your business
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Business Terms Help Lineage
Unique number
assigned by
the company
IdentifierCustomer
Data Element Type
First Name VARCHAR
Last Name VARCHAR
CustID VARCHAR
Start Date DATE
Data Element Type
First Name VARCHAR
Middle CHAR
Last Name VARCHAR
Customer_Id VARCHAR
Telephone VARCHAR
Multiple definitions for same term can be captured and
Shared through a central repository.
Discrepancies can be resolved through collaboration
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An Integrated Wide RangingManagement Environment
140 + metadata sources (databases, languages, models, DW/BI tools)
Mainframe and distributed environments
Operational and Decision Support (BI/DW) environments
Higher level /Architectural metadata
ASG-Rochade
Business Terminology /Concepts
ASG-metaGlossary
Detailed/ Applicationmetadata
ASG-becubic
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Questions
Thank You For Attending!!
Ravi Chivukula
Director, Business Solutions
Email: [email protected]
Tel: 817-652-6323
Carl Roberts
Senior Account ExecutiveEmail: [email protected]
Tel: 303-249-3607
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mailto:[email protected]:[email protected]:[email protected]:[email protected]