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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By : Vijay Karambelkar
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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By: 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)
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Hadoop filesystem CLIs

Hadoop provides a command-line shell for its filesystem, which could be HDFS or any other filesystem supported by Hadoop. There are different ways through which the commands can be called:

hrishikesh@base0:/$ hadoop fs -<command> <parameter>
hrishikesh@base0:/$ hadoop dfs -<command> <parameter>
hrishikesh@base0:/$ hdfs dfs -<command> <parameter>

Although all commands can be used on HDFS, the first command listed is for Hadoop FS, which can be either HDFS or any other filesystem used by Hadoop. The second and third commands are specific to HDFS; however, the second command is deprecated, and it is replaced by the third command. Most filesystem commands are inspired by Linux shell commands, except for minor differences in syntax. The HDFS CLI follows a POSIX-like filesystem interface.

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