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Modern Big Data Processing with Hadoop

You're reading from   Modern Big Data Processing with Hadoop Expert techniques for architecting end-to-end big data solutions to get valuable insights

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Length 394 pages
Edition 1st Edition
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Concepts
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Authors (3):
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 R Patil R Patil
Author Profile Icon R Patil
R Patil
 Shindgikar Shindgikar
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Shindgikar
 Kumar Kumar
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Kumar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management FREE CHAPTER 3. Hadoop Design Consideration 4. Data Movement Techniques 5. Data Modeling in Hadoop 6. Designing Real-Time Streaming Data Pipelines 7. Large-Scale Data Processing Frameworks 8. Building Enterprise Search Platform 9. Designing Data Visualization Solutions 10. Developing Applications Using the Cloud 11. Production Hadoop Cluster Deployment

Production Hadoop Cluster Deployment

Hadoop itself started with a strong core and File System designed to handle the big data challenges. Later, many applications were developed on top of this, creating a big ecosystem of applications that play nicely with each other. As the number of applications started increasing, the challenges to create and manage the Hadoop environment increased as well.

In this chapter, we will look at the following:

  • Apache Ambari
  • A Hadoop cluster with Ambari
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