Managing Data in Motion
Data Integration Best Practice Techniques and Technologies
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The average enterprise's computing environment is comprised of hundreds to thousands of disparate and changing computer systems that have been built, purchased, and acquired. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one system format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. As additional systems are added to an organization...
The average enterprise's computing environment is comprised of hundreds to thousands of disparate and changing computer systems that have been built, purchased, and acquired. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one system format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. As additional systems are added to an organization¿s portfolio, the complexity of the interfaces between the systems grows exponentially, making management of those interfaces overwhelming. This book will include the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable architecture. Author April Reeve brings over two decades of experience and a built-in audience to present a vendor-neutral approach that can be understood by IT and business managers as well as programmers and architects. Readers will learn the different techniques, technologies, and best practices used to manage the passing of data between computer systems and integrating disparate data together in an enterprise environment.
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