An easy, accessible guide to Big Data technology, this book covers all the basics students need to know to install and use Hadoop 2 on both personal computers and servers, and navigate the entire Apache Hadoop ecosystem. Hadoop 2 is demystified; This guide explains the problems Hadoop solves, shows how it relates to Big Data, and demonstrates both administrators and users work with it. From its Getting Started checklist/flowchart to its roadmap of additional resources, Hadoop 2 Quick-Start Guide is the perfect Hadoop 2 starting point for students to master Big Data.
About the Author
Douglas Eadline began his career as a practitioner and a chronicler of the Linux cluster HPC revolution and now documents Big Data analytics. Starting with the first Beowulf Cluster how-to document, Doug has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of High Performance Computing (HPC). Prior to starting and editing the popular ClusterMonkey.net website in 2005, he served as editor-in-chief for ClusterWorld Magazine, and was senior HPC editor for Linux Magazine. Currently, he is a writer and consultant to the HPC/Data Analytics industry and leader of the Limulus Personal Cluster Project (limulus.basement-supercomputing.com). He authored Hadoop Fundamentals LiveLessons, Second Edition (2015), and Apache Hadoop YARN LiveLessons (2014), and is coauthor of Apache Hadoop� YARN (2014), all from Addison-Wesley.