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

By: Contributor(s): Material type: TextOriginal language: English Publisher: [Place of publication not identified] : O'Reilly, Inc., 2019Description: 605 páginasContent type:
  • texto
Media type:
  • sin mediación
Carrier type:
  • volumen
ISBN:
  • 9781491969274
Subject(s): DDC classification:
  • 23 005.74 K96a
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.
Summary: 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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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 005.74 K96a (Browse shelf(Opens below)) Ej.:2 Available (Sin Restricciones) 088904
LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 005.74 K96a (Browse shelf(Opens below)) Ej.:1 Available 086927
Total holds: 0

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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