Architecting data lakes : data management architectures for advanced business use cases /

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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&...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: LaPlante, Alice, 1958- (Autor), Sharma, Ben (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, [2016]
Edición:First edition.
Temas:
Big data.
Database management.
Business enterprises > Data processing.
Information technology > Management.
Données volumineuses.
Bases de données > Gestion.
Entreprises > Informatique.
Technologie de l'information > Gestion.
Big data
Business enterprises > Data processing
Database management
Information technology > Management
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.

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