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Apache Hadoop 3 Quick Start Guide

You're reading from Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788999830

Length 220 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Big Data

Author (1):

Hrishikesh Vijay Karambelkar

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Table of Contents (10) Chapters

Preface

1. Hadoop 3.0 - Background and Introduction FREE CHAPTER

2. Planning and Setting Up Hadoop Clusters

3. Deep Dive into the Hadoop Distributed File System

4. Developing MapReduce Applications

5. Building Rich YARN Applications

6. Monitoring and Administration of a Hadoop Cluster

7. Demystifying Hadoop Ecosystem Components

8. Advanced Topics in Apache Hadoop

9. Other Books You May Enjoy

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Summary

In this last chapter, we have covered advanced topics for Apache Hadoop. We started with business use cases for Apache Hadoop in different industries, covering healthcare, oil and gas, finance and banking, government, telecommunications, retail, and insurance. We then looked at advanced Hadoop storage formats, which are used today by many of Apache Hadoop's ecosystem software; we covered Parquet, ORC, and Avro. We looked at the real-time streaming capabilities of Apache Storm, which can be used on a Hadoop cluster. Finally, we looked at Apache Spark when we tried to understand the different components of Apache Spark including streaming, SQL, and analytical capabilities. We also looked at its architecture.

We started this book with history of Apache Hadooop, its architecture, and open source v/s commercial hadoop implementations. We looked at new Hadoop 3.X features...

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Authors (1)

Vijay Karambelkar

Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.

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