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

Kunigk, Jan

Architecting Modern Data Platforms : a Guide to Enterprise Hadoop at Scale. - 605 páginas.

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.

9781491969274


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 datos

005.74 / K96a