Learning Hadoop 2 (eBook, PDF)
PAYBACK Punkte
12 °P sammeln!
This book introduces you to the world of building data-processing applications with the wide variety of tools supported by Hadoop 2. Starting with the core components of the framework-HDFS and YARN-this book will guide you through how to build applications using a variety of approaches.You will learn how YARN completely changes the relationship between MapReduce and Hadoop and allows the latter to support more varied processing approaches and a broader array of applications. These include real-time processing with Apache Samza and iterative computation with Apache Spark. Next up, we discuss Ap...
This book introduces you to the world of building data-processing applications with the wide variety of tools supported by Hadoop 2. Starting with the core components of the framework-HDFS and YARN-this book will guide you through how to build applications using a variety of approaches.You will learn how YARN completely changes the relationship between MapReduce and Hadoop and allows the latter to support more varied processing approaches and a broader array of applications. These include real-time processing with Apache Samza and iterative computation with Apache Spark. Next up, we discuss Apache Pig and the dataflow data model it provides. You will discover how to use Pig to analyze a Twitter dataset.With this book, you will be able to make your life easier by using tools such as Apache Hive, Apache Oozie, Hadoop Streaming, Apache Crunch, and Kite SDK. The last part of this book discusses the likely future direction of major Hadoop components and how to get involved with the Hadoop community.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
