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

By: Kunigk, JanContributor(s): Buss, Ian | Wilkinson, Paul | George, LarsMaterial type: TextTextOriginal language: English Publisher: O'Reilly, Inc., 2019Description: 605 pISBN: 9781491969274Subject(s): Electronic data processing -- Distributed processing | Procesamiento electrónico de datos -- Procesamiento distribuido | Apache Hadoop | File organization -- Computer science | Organización de archivos -- Informática | Arquitectura de Computadores | Gestión de base de datosDDC classification: 005.74
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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LIBROS - MATERIAL GENERAL LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL
General 		005.74 K96a (Browse shelf) Ej.:1 Available 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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