Preface

This book is a quick-start guide for learning Apache Hadoop version 3. It is targeted at readers with no prior knowledge of Apache Hadoop, and covers key big data concepts, such as data manipulation using MapReduce, flexible model utilization with YARN, and storing different datasets with Hadoop Distributed File System (HDFS). This book will teach you about different configurations of Hadoop version 3 clusters, from a lightweight developer edition to an enterprise-ready deployment. Throughout your journey, this guide will demonstrate how parallel programming paradigms such as MapReduce can be used to solve many complex data processing problems, using case studies and code to do so. Along with development, the book will also cover the important aspects of the big data software development life cycle, such as quality assurance and control, performance, administration, and monitoring. This book serves as a starting point for those who wish to master the Apache Hadoop ecosystem.