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雷达卡
A Definitive Guide to Hadoop-Related Frameworks and Tools
Authors: Deepak Vohra
This unique in-depth book that covers most of the commonly used Hadoop servicing frameworks or tools, not covered elsewhere
This book is practical with examplesHadoop and its ecosystem is one of the two most popular big data frameworks out there
This book is a practical guide on using the Apache Hadoop projects including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout and Apache Solr. From setting up the environment to running sample applications each chapter is a practical tutorial on using a Apache Hadoop ecosystem project. While several books on Apache Hadoop are available, most are based on the main projects MapReduce and HDFS and none discusses the other Apache Hadoop ecosystem projects and how these all work together as a cohesive big data development platform.
What you'll learn
• How to set up environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5.
• How to run a MapReduce job
• How to store data with Apache Hive, Apache HBase
• How to index data in HDFS with Apache Solr
• How to develop a Kafka messaging system
• How to develop a Mahout User Recommender System
• How to stream Logs to HDFS with Apache Flume
• How to transfer data from MySQL database to Hive, HDFS and HBase with Sqoop
• How create a Hive table over Apache Solr
Who this book is for:
The primary audience is Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
Table of contents
Introduction
HDFS and MapReduce
Apache Hive
Apache HBase
Apache Sqoop
Apache Flume
Apache Avro
Apache Parquet
Apache Kafka
Apache Solr
Apache Mahout
Practical Hadoop Ecosystem_A Definitive Guide to Hadoop-Related Frameworks and Tools.pdf
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