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Managing data in motion : data integration best practice techniques and technologies /
Managing Data in Motion includes the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable data architecture. Author April Reeve brings over two decades of experience to present a vendor-neutral approach that can be unders...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Waltham, MA :
Morgan Kaufmann,
©2013.
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| Colección: | Morgan Kaufmann Series on Business Intelligence.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Reeve, April. | |
| 245 | 1 | 0 | |a Managing data in motion : |b data integration best practice techniques and technologies / |c April Reeve. |
| 260 | |a Waltham, MA : |b Morgan Kaufmann, |c ©2013. | ||
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| 490 | 1 | |a The Morgan Kaufmann Series on Business Intelligence | |
| 520 | |a Managing Data in Motion includes the techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling a scalable data architecture. Author April Reeve brings over two decades of experience to present a vendor-neutral approach that can be understood by IT and business managers as well as programmers and architects. 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. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data typesExplains, in non-technical terms, the architecture and components required for an organization to perform Data Integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data." | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Part 1. Introduction to data integration -- part 2. Batch data integration -- part 3. Real time data integration -- part 4. Big, cloud, virtual data. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Data integration (Computer science) | |
| 650 | 6 | |a Intégration de données (Informatique) | |
| 650 | 7 | |a Data integration (Computer science) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Reeve, April. |t Managing data in motion. |d Amsterdam : Elsevier, [2013] |z 9780123971678 |w (OCoLC)809027447 |
| 830 | 0 | |a Morgan Kaufmann Series on Business Intelligence. | |
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