Managing Data in Motion

Data Integration Best Practice Techniques and Technologies

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2013
ISBN13: 9780123971678
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Elsevier Science e druk, 2013 9780123971678
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Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one 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. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

Specificaties

ISBN13:9780123971678
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part 1: An Introduction to Data Integration </p> <p>Part 2: Batch Data Integration </p> <p>• ETL </p> <p>• Data Warehousing </p> <p>• Data Conversion </p> <p>• Batch Data Integration Architecture and Metadata </p> <p>Part 3: Real-Time Data Integration </p> <p>• Best Practice Patterns </p> <p>• Technologies </p> <p>• Message Modeling </p> <p>• XML </p> <p>• Master Data Management </p> <p>• Real Time Data Integration Architecture and Metadata </p> <p>• Interactions with Legacy Applications </p> <p>• External Interaction </p> <p>Part 4: Cloud and Big Data Integration </p>

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