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Oracle Information Integration, Migration, and Consolidation

Oracle Information Integration, Migration, and Consolidation

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Oracle Information Integration, Migration, and Consolidation

Oracle Information Integration, Migration, and Consolidation

4.6 (5)

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)
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Oracle Information Integration, Migration, and Consolidation
Credits
About The Author
About the Contributing Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 7. Database-centric Data Integration

Database-centric data integration involves data interchange between different databases, either in asynchronous or on-demand in the context of active transactions, or bulk data merges between source and target databases. The earliest information integration techniques involved exchanging data between different databases/applications through flat files. This data interchange using flat files made the data integration processes a batch process. This approach is in use even today, due to its technical simplicity and lower cost in terms of use of native database utilities. Organizations do not need to buy expensive proprietary tools or technologies.

However, the need for access to data in real-time, that is, when executing a transaction such as checking the current stock level for an item, current account balances, confirmation of address, ascertaining credit scores while processing loan applications, and so on, has increased with the advent of internet...

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