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)

Deep Dive into the Hadoop Distributed File System

In the previous chapter, we saw how you can set up a Hadoop cluster in different modes, including standalone mode, pseudo-distributed cluster mode, and full cluster mode. We also covered some aspects on debugging clusters. In this chapter, we will do a deep dive into Hadoop's Distributed File System. The Apache Hadoop release comes with its own HDFS (Hadoop Distributed File System). However, Hadoop also supports other filesystems such as Local FS, WebHDFS, and Amazon S3 file system. The complete list of supported filesystems can be seen here (

In this section, we will primarily focus on HDFS, and we will cover the following aspects of Hadoop's filesystems:

  • How HDFS works
  • Key features of HDFS
  • Data flow patterns of HDFS
  • Configuration for HDFS
  • Filesystem CLIs
  • Working with data structures...