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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 9. Information Lifecycle Management for Transactional Applications

According to industry analysts, data is growing at the rate of 60 to 80 percent per year, or in other words we are seeing exponential growth of data. While most data growth is perceived to be from unstructured data sources such as e-mails, file systems, and social media sources, what has been overlooked is the significant growth from structured data sources. Apart from this, relational databases like Oracle Database support CRUD (Create, Replace, Update, Delete) operations on all types of data, whether it is traditional structured or unstructured data types. More and more modern enterprise applications are linking structured data and unstructured content to provide a comprehensive insight into transactions like a new customer coming in or a new order being placed.

Most organizations run some kind of large-scale enterprise application system that manages customer, financial, product, supply chain, orders data, and...

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