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

Chapter 5. Database Migration Challenges and Solutions

From a relational database perspective, the migration of one relational database to another is easier than migrating from a non-relational database to a relational database. However, this does not mean that this type of migration is a simple process, because of the impact on the ecosystem of which these databases are a critical part. In many respects, relational databases are quite similar, for example: data storage concepts, data management techniques, data access APIs and so on. However, they also differ significantly in the actual implementation of these common features, such as:

  • Object naming conventions

  • Null value handling

  • Case sensitivity

  • Default locking behavior

  • Features/functionalities supported in stored programs

Data migrations between relational databases are easier when compared with migration from legacy databases. The reason being that relational databases are similar in many data management aspects, such as handling different...