Apache Hadoop 3 Quick Start Guide

A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystemKey FeaturesSet up configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce HDFS and YARN Learn about the new features introduced in Hadoop 3Book DescriptionApache 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.What you will learnStore and analyze data at scale using HDFS MapReduce and YARNInstall and configure Hadoop 3 in different modesUse Yarn effectively to run different applications on Hadoop based platformUnderstand and monitor how Hadoop cluster is managedConsume streaming data using Storm and then analyze it using SparkExplore Apache Hadoop ecosystem components such as Flume Sqoop HBase Hive and KafkaWho this book is forAspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage. About the Author Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience specifically in the areas of big data enterprise search data analytics text mining and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries including oil and gas chemicals manufacturing utilities healthcare and government infrastructure. In the past he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases and some of his work has been published at international conferences such as VLDB and ICDE.