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

Information Lifecycle Management


As we look at managing data with MDM and data hubs, we often have to deal with aging data and database management platform systems. This is where we can introduce the notion of Information Lifecycle Management (ILM). ILM enables practitioners to save money and resources by managing where old data lives, how to get it, and when. To further complicate the issue, ILM strategies have to incorporate aging platforms and RDMS systems, and even pre-relational data. In the world of ILM, we introduce the idea of active data archiving and passive data archiving. Which option to use depends upon when and how you need the data.

Active data archiving

Active data archiving is where the data has been archived and partitioned away from the current application data, but is available quickly to the live application. This type of archiving can be maintained through an appliance or legacy data retrieval system.

Passive data archiving

Passive data archiving is data that is stored...