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Architecting data lakes : data management architectures for advanced business use cases /
Many organizations use Hadoop-driven data lakes as an adjunct staging area for their enterprise data warehouses (EDW). But for those companies ready to take the plunge, a data lake is far more useful as a one-stop-shop for extracting insights from their vast collection of data. With this eBook, you&...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
[2016]
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a LaPlante, Alice, |d 1958- |e author. | |
| 245 | 1 | 0 | |a Architecting data lakes : |b data management architectures for advanced business use cases / |c Alice LaPlante and Ben Sharma. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 588 | 0 | |a Online resource; title from title page (Safari, viewed February 11, 2019). | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a Many organizations use Hadoop-driven data lakes as an adjunct staging area for their enterprise data warehouses (EDW). But for those companies ready to take the plunge, a data lake is far more useful as a one-stop-shop for extracting insights from their vast collection of data. With this eBook, you'll learn best practices for building, maintaining, and deriving value from a Hadoop data lake in production environments. Authors Alice LaPlante and Ben Sharma explain how a data lake will enable your organization to manage an increasing volume of datasets--from blog postings and product reviews to streaming data--and to discover important relationships between them. Whether you want to control administrative costs in healthcare or reduce risk in financial services, this ebook addresses the architectural considerations and required capabilities you need to build your own data lake. With this report, you'll learn: The key attributes of a data lake, including its ability to store information in native formats for later processing Why implementing data management and governance in your data lake is crucial How to address various challenges for building and managing a data lake Self-service options that enable different users to access the data lake without help from IT Emerging trends that will shape the future of data lakes. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 650 | 0 | |a Business enterprises |x Data processing. | |
| 650 | 0 | |a Information technology |x Management. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 6 | |a Entreprises |x Informatique. | |
| 650 | 6 | |a Technologie de l'information |x Gestion. | |
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| 650 | 7 | |a Business enterprises |x Data processing |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Information technology |x Management |2 fast | |
| 700 | 1 | |a Sharma, Ben, |e author. | |
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