Book Image

Apache Hadoop 3 Quick Start Guide

By : Hrishikesh Vijay Karambelkar
Book Image

Apache Hadoop 3 Quick Start Guide

By: Hrishikesh Vijay Karambelkar

Overview of this book

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.
Table of Contents (10 chapters)

Setting up Hadoop in cluster mode

In this section, we will focus on setting up a cluster of Hadoop. We will also go over other important aspects of a Hadoop cluster, such as sizing guidelines, setup instructions, and so on. A Hadoop cluster can be set up with Apache Ambari, which offers a much simpler, semi-automated, and error-prone configuration of a cluster. However, the latest version of Ambari at the time of writing supports older Hadoop versions. To set up Hadoop 3.1, we must do so manually. By the time this book is out, you may be able to use a much simpler installation process. You can read about older Hadoop installations in the Ambari installation guide, available here.

Before you set up a Hadoop cluster, it would be good to check the sizing of a cluster so that you can plan better, and avoid reinstallation due to incorrectly estimated cluster size. Please refer to the...