Architecting Hadoop as a Platform: A Service-Oriented Approach to Big Data

Author:   Chris Mutchler ,  Andrew Nelson
Publisher:   Pearson Education (US)
ISBN:  

9780134282626


Pages:   350
Publication Date:   12 March 2016
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Architecting Hadoop as a Platform: A Service-Oriented Approach to Big Data


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Overview

Architecting Hadoop as a Platform describes the evolution of a purely fictional company that is moving from a client-server platform to a cloud-native platform that leverages Big Data as its engine. The examples given reflect the algorithms, analysis and practical experience necessary to create and personalize the reader's approach to the unique problem of building Hadoop-as-a-Service IT infrastructure. Key features of the book include: *Configuration Management of the holistic Big Data pipeline *Architecture and design with a bias to scalability*Operations management perspective using topical examples from vRealize Operations*Hadoop -as-a-Service blueprint considerations*Utilization of private, public and hybrid cloud resources in contrast*A practical approach to architecting a responsible and effective Hadoop security policy*Necessary tooling for deployment and end-user portal delivery

Full Product Details

Author:   Chris Mutchler ,  Andrew Nelson
Publisher:   Pearson Education (US)
Imprint:   VMWare Press
ISBN:  

9780134282626


ISBN 10:   0134282620
Pages:   350
Publication Date:   12 March 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Part 1 - The Big Data Ecosystem Chapter 1 - The Very Basics Chapter 2 - HDFS as the Data Warehouse Layer Chapter 3 - The Broader Ecosystem Chapter 4 - Periscope Data Introduction Part 2 - The Hardware Architecture Chapter 5 - Architecture Considerations Chapter 6 - Storage Considerations Chapter 7 - Moving the Packets Chapter 8 Compute, Compute, Compute - and Memory Part 3 - Orchestration and Configuration Management Chapter 9 - Cluster Conscious Deployments Chapter 10 - VMware Big Data Extensions Chapter 11 - Workflow Building Blocks Chapter 12 - Configuration and Change Management Chapter 13 - API Layer Part 4 - Day 2 and Beyond Chapter 14 - Software Development Lifecycle Chapter 15 - Monitoring Chapter 16 - Scaling Clusters Glossary of Terms Index

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