Enterprise Data Services: Effectively Sharing Your Master and Reference Data with Reusable Eds

Enterprise Data Services: Effectively Sharing Your Master and Reference Data with Reusable Eds

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Description

The need for enterprise data services with reusable components has been widely acknowledged in the IT industry over the last decade. This book illustrates how large organizations can combine these enterprise architecture principles with practical techniques in data architecture, master data management, and enterprise modeling to deploy high-quality, on-demand data services meant for enterprise-level consumption. Using enterprise data services as a unifying conceptual framework, the book shows how to integrate distributed systems across heterogeneous platforms effectively within finite budgets and suitable governance mechanism. Deploying reusable data services can promote information sharing and consistency across different systems in an organization along with consistent reporting to external agencies (e.g. regulatory, consumers, government).
* Learn how to transform your organization to a service driven IT delivery model, utilizing re-usable data services that facilitate information sharing * Focus on the process for deploying these services in Master and Reference data areas with relevant examples and case studies that illustrate how the best practices covered in this book can be easily introduced in your organization. * Understand how to create a services governance framework that supports change management and versioning, how to deploy data services in popular areas like MDM and reference data in the SOA environment.
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Product details

  • Paperback | 256 pages
  • 191 x 235mm
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • 012405207X
  • 9780124052079

Table of contents

1 Introduction

2 Enterprise Data Services

3 Introduction to the Enterprising Modeling Framework in the MDM/SOA environment

4 Standardizing Data Definition & Business Rules

5 Building blocks of a enterprise data service

6 Master & reference data services

7 Data distribution strategy to meet needs of key stakeholders and consumers

8 Architecture & Technology Considerations on deploying Enterprise Data Services in the organization

9 Data Security, Entitlements and Privacy

10 Governance of Data Services at Enterprise Level

11 Improving Information Quality for Enterprise Data

12 Taking the journey from concept to reality in your organization
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