Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

White, Tom

ISBN 10: 1491901632 / ISBN 13: 9781491901632

Published by O'Reilly Media, 2015

About this Item

Clean Inside With No Gift Inscription Or Remarks Inside. 727 Pages With An Index. . Paperback, 4Th Edition. No Cd Or Code Just A Book.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.

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Bibliographic Details

• Title: Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale
• Publisher: O'Reilly Media
• Publication Date: 2015
• Language: English
• ISBN 10: 1491901632
• ISBN 13: 9781491901632
• Binding: Soft cover
• Edition: 4th Edition.
• Condition: Very Good
• Weight: 2 ounces

About this title

Synopsis

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. Youâ??ll learn about recent changes to Hadoop, and explore new case studies on Hadoopâ??s role in healthcare systems and genomics data processing.

• Learn fundamental components such as MapReduce, HDFS, and YARN
• Explore MapReduce in depth, including steps for developing applications with it
• Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN
• Learn two data formats: Avro for data serialization and Parquet for nested data
• Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)
• Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop
• Learn the HBase distributed database and the ZooKeeper distributed configuration service

About the Author

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.