Book Image

Oracle Information Integration, Migration, and Consolidation

Book Image

Oracle Information Integration, Migration, and Consolidation

Overview of this book

The book covers data migration, data consolidation, and data integration, the three scenarios that are typically part of the information integration life cycle. Organizations typically find themselves migrating data to Oracle and either later, or at the same time, consolidating multiple database instances into a single global instance for a department, or even an entire company. The business savings and technical benefits of data consolidation cannot be overlooked, and this book will help you to use Oracle's technology to achieve these goals. This highly practical and business-applicable book will teach you to be successful with the latest Oracle data and application integration, migration, information life-cycle management, and consolidation products and technologies.In this book, you will gain hands-on advice about data consolidation, integration, and migration using tools and best practices. Along the way you will leverage products like Oracle Data Integrator, Oracle GoldenGate, and SQL Developer, as well as Data Hubs and 11gR2 Database. The book covers everything from the early background of information integration and the impact of SOA, to products like Oracle GoldenGate and Oracle Data Integrator. By the end you'll have a clear idea of where information and application integration is headed and how to plan your own projects.
Table of Contents (17 chapters)
Oracle Information Integration, Migration, and Consolidation
Credits
About The Author
About the Contributing Authors
About the Reviewers
www.PacktPub.com
Preface

What is Information Lifecycle Management?


Information Lifecycle Management (ILM), is a set of policies and procedures that govern the lifecycle of all corporate data. These policies and procedures once created are typically enforced by software or storage systems. The policies for ILM are different for each organization and they depend on industry/country-specific regulations. ILM policies help organizations dictate the lifecycle of data for the entire lifespan of the information. For example, a Human Resource transaction could reside on a production system for the first two years, then on an archival system for the next seven years, and on a long-term archive for the next 15 years, after which it may be destroyed. The notion of implementing ILM for data is to properly manage the data growth and move it along different tiers based on usage, regulatory, compliance, and storage requirements and eventually destroy data that is no longer required by the enterprise.

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