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)

Hadoop use cases in industries

Today, the industry is growing at a faster pace. With modernization, more and more data is getting generated out of different industries, which requires large data processing. Most of the software used in big data ecosystems is based on of open source, with limited paid support for commercial implementations. So, selection of the right technology that can address your problems is important. Additionally, when you choose a technology for solving your big data problem, you should evaluate it based on the following points, at least:

  • Evolution of technology with the number of years
  • The release's maturity (alpha, beta, or 1.x)
  • The frequency of product releases
  • The number of committers, which denotes the activeness of the project
  • Commercial Support from Companies like Hortonworks and Cloudera
  • List of JIRA tickets
  • Future roadmap for new releases