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

Data grids using Oracle caching


Data does not have to be limited to storage and management in a fixed stored source, but also within a data grid. With data grids, we can leverage in memory data caches with either a real-time database like TimesTen or a data object cache like Coherence. Both of these technologies are key aspects of data management and consolidation. With TimesTen, we can take legacy data sources from say, Sybase, Band put them in a highly accessible in-memory data grid. In addition, we can make heterogeneous data accessible from say, the mainframe, to Java applications through Coherence in-memory database cache. This allows us not only to make data accessible across the enterprise, but also creates a low cost platform, reducing Millions of Instructions Per Second (MIPS) consumption on the mainframe to access data. As the data is cached in Java objects, the application is not concerned where the actual data source is, and thus has achieved a level of heterogeneous data consumption...