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Can I read Microsoft SQL Server 2008 R2 Master Data Services : manage and maintain your organization's master data effectively with Microsoft SQL Server 2008 R2 Master Data Services on EtoBox?

Microsoft SQL Server 2008 R2 Master Data Services : manage and maintain your organization's master data effectively with Microsoft SQL Server 2008 R2 Master Data Services by Jeremy Kashel, Martyn Bullerwell, Tim Kent is a nonfiction available to read on EtoBox.

What is Microsoft SQL Server 2008 R2 Master Data Services : manage and maintain your organization's master data effectively with Microsoft SQL Server 2008 R2 Master Data Services about?

Cover; Copyright; Credits; Foreword; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Master Data Management; Master data; The need for Master Data Management; Manual updates; Different descriptions for the same attributes; Mergers and acquisitions; Master Data Management overview; Data quality; Operational and analytical Master Data Management; Analytical MDM; Operational MDM; Different approaches to Master Data Management; Transaction Hub; Registry; Hybrid; Data governance; Data stewardship; Politics and organizational changes; Summary Configuring Master Data Services for the first timeDatabase creation; Database settings; Web configuration; Installing sample models; Summary; Chapter 4: Creating and Using Models; MDS object model overview; Models; Entities and attributes; Attributes; Domain attributes and relationships between entities; Creating an entity; Editing an entity; Members; The Master Data Manager Explorer; Adding a member; Editing a member; Deleting members; Annotating members; Transactions; Attribute Groups; Creating Attribute Groups; Using Attribute Groups; Hierarchies; Derived Hierarchies Exploring Derived HierarchiesA

Who reads Microsoft SQL Server 2008 R2 Master Data Services : manage and maintain your organization's master data effectively with Microsoft SQL Server 2008 R2 Master Data Services?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Jeremy Kashel, Martyn Bullerwell, Tim Kent
Publisher
Packt Publishing Limited
Published
2011
Language
EN
ISBN
9781849680509
Category
nonfiction
Subjects
Management, Computer Science, Databases

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