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Data Modeling for the Business

A Handbook for Aligning the Business with IT Using High-Level Data Models

; Donna Burbank ; Christopher Bradley

Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. Les mer
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Vår pris: 559,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager

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Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.

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Introduction11(2)




What is a Data Model?

13(14)




Why Does a High-Level Data Model Matter?

27(14)




Integration

33(2)




Standards and Reuse

35(2)




Data Modeling for All

37(1)




Now You Try It! Let's Build a High-Level Data Model

38(3)




A More Detailed Look at the High-Level Data Model

41(36)




Very High-level Data Model (VHDM)

45(3)




High-Level Data Model (HDM)

48(5)




Logical Data Model

53(1)




Physical Data Model

54(3)




How the Four Levels of Detail Fit Together

57(3)




Components of a HDM

60(10)




Now You Try It! Using Concepts and Relationships

70(1)




Dimensional Models

70(4)




Now You Try It! Creating a High-Level Data Model for BI Reporting

74(1)




Some Important Terms

74(3)




Layout and Formatting Tips for High-Level Data Models

77(10)




Concepts

78(2)




Relationships

80(1)




Other Tips for Effective Model Layout

81(3)




Now You Try It! Understanding High-Level Data Models

84(3)




What is in a Name?

87(4)




Different Modeling Notations

91(12)




Entity-Relationship (ER) Modeling

92(1)




Information Engineering (IE)

93(1)




IDEF1X

94(1)




Barker Notation

95(1)




UML Modeling

96(3)




Object Role Modeling (ORM)

99(2)




``Natural-Language'' Modeling

101(2)




How High-Level Data Models Fit With Other Data Initiatives

103(16)




Business Intelligene and Data Warehousing

104(4)




Master Data Management

108(2)




Data Governance

110(2)




Application Development and Agile Methods

112(2)




Enterprise Architecture

114(1)




Process Modeling

114(2)




Now You Try It! Using HDMs in Your Organization's Initiatives

116(3)




Creating a Successful High-Level Data Model

119(66)




Ten steps to completing the HDM

119(66)




High-Level Data Model Templates

185(22)




In-The-Know Template

185(4)




Concept List

189(3)




Concept Family Tree

192(6)




Concept Grain Matrix

198(3)




Industry Data Models

201(6)




Putting the Pieces Together

207(26)




The Ice HDM

208(13)




The Ice Cube HDM

221(12)




Justifying a Modeling Tool for the High-Level Data Model

233(12)




Metadata

234(1)




Reuse

235(3)




Linking

238(2)




Impact Analysis

240(1)




Automation

241(4)




Key Modeling Tool Features for the High-Level Data Model

245(6)




Integration with other Tools

246(1)




Design Layers with Linking Capability

246(1)




Verbalization from the Data Model

247(1)




Sensible Notation for High-Level Data Models

247(1)




Ability to Capture Business Metadata

248(1)




Presentation of Models

248(1)




Repository Integration

248(1)




Ease of Use for Business Users

248(1)




Now You Try It! Creating Your Criteria for a Tools Evaluation

249(2)




An Approach for Evaluating Modeling Tools

251(10)




Why do we Need to Follow a Selection Method?

252(1)




The Outline Method

252(9)




Energy Company Case Study

261(14)




The Pain Point

261(1)




Identifying Purpose, Stakeholders, and Goals

262(2)




Implementation

264(7)




Marketing

271(2)




Benefits

273(2)
Appendix A: Answers to ``Now You Try It!'' Exercises275(4)
Works Cited279(2)
Suggested Reading281(2)
Index283