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Architecting Modern Data Platforms : a Guide to Enterprise Hadoop at Scale.

Por: Colaborador(es): Tipo de material: TextoLenguaje original: Inglés Editor: [Place of publication not identified] : O'Reilly, Inc., 2019Descripción: 605 páginasTipo de contenido:
  • texto
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volumen
ISBN:
  • 9781491969274
Tema(s): Clasificación CDD:
  • 23 005.74 K96a
Contenidos:
Big Data Technology Primer. – Clusters. -- Compute and Storage. – Networking. -- Organizational Challenges. -- Datacenter Considerations. -- Provisioning Clusters. -- Platform Validation. – Security. -- Integration with Identity Management Providers. -- Accessing and Interacting with Clusters. -- High Availability. -- Backup and Disaster Recovery. -- Taking Hadoop to the Cloud. -- Basics of Virtualization for Hadoop. -- Solutions for Private Clouds. -- Automated Provisioning. -- Security in the Cloud.
Resumen: There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.
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LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 005.74 K96a (Navegar estantería(Abre debajo)) Ej.:2 Disponible (Sin Restricciones) 088904
LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 005.74 K96a (Navegar estantería(Abre debajo)) Ej.:1 Disponible 086927
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Table of contents.

Big Data Technology Primer. – Clusters. -- Compute and Storage. – Networking. -- Organizational Challenges. -- Datacenter Considerations. -- Provisioning Clusters. -- Platform Validation. – Security. -- Integration with Identity Management Providers. -- Accessing and Interacting with Clusters. -- High Availability. -- Backup and Disaster Recovery. -- Taking Hadoop to the Cloud. -- Basics of Virtualization for Hadoop. -- Solutions for Private Clouds. -- Automated Provisioning. -- Security in the Cloud.

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.

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