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 benefits can ILM offer?


ILM offers several benefits to enterprises, including:

  • Controls data growth

  • Risk mitigation, compliance with data retention regulations

  • Storage cost reduction

  • Use policy-based storage

  • Increase application performance

  • Reduce backup and disaster recovery cycles

ILM can be applied to all types of data, including unstructured data, semi-structured, and structured or transactional. As the focus of this book is on structured data, the next sections of this chapter will delve into details on how ILM can be applied to structured and transactional data. There are two classes of structured applications. The first is transactional production data. The second is considered legacy application data in which no new transactions are being entered into these systems, but enterprises are required to keep these applications up and running for policy, historical, or legal reasons. There are two different paradigms that help enterprises implement ILM for these two classes of structured...