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 diving into MapReduce APIs

Let's start looking at different types of data structures and classes that you will be using while writing MapReduce programs. We will be looking data structures of input and output to MapReduce, and different classes that you can use for Mapper, Combiner, Shuffle, and Reducer.

Configuring MapReduce jobs

Usually, when you write programs in MapReduce, you start with configuration APIs first. In our programs that we have run in previous chapters, the following code represents the configuration part:

The Configuration class (part of the org.apache.Hadoop.conf package) provides access to different configuration parameters. The API reads properties from the supplied file. The configuration...