Ebook: Hadoop real-work solutions cookbook: over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout
Author: Deshpande Tanmay
- Tags: Electronic data processing--Distributed processing, Electronic books, Apache Hadoop, Electronic data processing -- Distributed processing
- Series: Quick answers to common problems
- Year: 2016
- Publisher: Packt Publishing
- City: Birmingham
- Edition: Second edition
- Language: English
- mobi
Cover; Copyright; Credits; About the Author; Acknowledgements; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Hadoop 2.X; Chapter 2: Exploring HDFS; Chapter 3: Mastering Map Reduce Programs; Chapter 4: Data Analysis Using Hive, Pig, and Hbase; Chapter 5: Advanced Data Analysis Using Hive; Chapter 6: Data Import/Export Using Sqoop and Flume; Chapter 7: Automation of Hadoop Tasks Using Oozie; Chapter 8: Machine Learning and Predictive Analytics Using Mahout and R; Chapter 9: Integration with Apache Spark; Chapter 10: Hadoop Use Cases; Index
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