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Apache Hadoop 3 Quick Start Guide
Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide: Learn about big data processing and analytics

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Profile Icon Vijay Karambelkar
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£19.99
eBook Oct 2018 220 pages 1st Edition
eBook
£19.99
Paperback
£24.99
Subscription
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Renews at £9.99p/m
Arrow left icon
Profile Icon Vijay Karambelkar
Arrow right icon
£19.99
eBook Oct 2018 220 pages 1st Edition
eBook
£19.99
Paperback
£24.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£19.99
Paperback
£24.99
Subscription
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Renews at £9.99p/m

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Apache Hadoop 3 Quick Start Guide

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Key benefits

  • Set up, configure and get started with Hadoop to get useful insights from large data sets
  • Work with the different components of Hadoop such as MapReduce, HDFS and YARN
  • Learn about the new features introduced in Hadoop 3

Description

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.

Who is this book for?

Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.

What you will learn

  • Store and analyze data at scale using HDFS, MapReduce and YARN
  • Install and configure Hadoop 3 in different modes
  • Use Yarn effectively to run different applications on Hadoop based platform
  • Understand and monitor how Hadoop cluster is managed
  • Consume streaming data using Storm, and then analyze it using Spark
  • Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2018
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781788994347
Vendor :
Apache
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Languages :
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What do you get with eBook?

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Product Details

Publication date : Oct 31, 2018
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781788994347
Vendor :
Apache
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total £ 103.97
Mastering Hadoop 3
£45.99
Big Data Analytics with Hadoop 3
£32.99
Apache Hadoop 3 Quick Start Guide
£24.99
Total £ 103.97 Stars icon
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Table of Contents

8 Chapters
Hadoop 3.0 - Background and Introduction Chevron down icon Chevron up icon
Planning and Setting Up Hadoop Clusters Chevron down icon Chevron up icon
Deep Dive into the Hadoop Distributed File System Chevron down icon Chevron up icon
Developing MapReduce Applications Chevron down icon Chevron up icon
Building Rich YARN Applications Chevron down icon Chevron up icon
Monitoring and Administration of a Hadoop Cluster Chevron down icon Chevron up icon
Demystifying Hadoop Ecosystem Components Chevron down icon Chevron up icon
Advanced Topics in Apache Hadoop Chevron down icon Chevron up icon
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