Hadoop The Definitive Guide By Tom White


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Hadoop: The Definitive Guide


Hadoop: The Definitive Guide

Author: Tom White

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2012-05-19


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With the latest edition of this comprehensive resource, readers will learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. Ideal for programmers and administrators wanting to set up and analyze datasets of any size.

Hadoop: The Definitive Guide


Hadoop: The Definitive Guide

Author: Tom White

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2010-09-24


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Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing datasets of any size, and administrators will learn how to set up and run Hadoop clusters. This revised edition covers recent changes to Hadoop, including new features such as Hive, Sqoop, and Avro. It also provides illuminating case studies that illustrate how Hadoop is used to solve specific problems. Looking to get the most out of your data? This is your book. Use the Hadoop Distributed File System (HDFS) for storing large datasets, then run distributed computations over those datasets with MapReduce Become familiar with Hadoop’s data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase, Hadoop’s database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems "Now you have the opportunity to learn about Hadoop from a master -- not only of the technology, but also of common sense and plain talk." --Doug Cutting, Cloudera

Hadoop


Hadoop

Author: Tom E. White

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2015


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''Offers information on how to build and maintain reliable, scalable, distributed systems with Apache Hadoop covering such topics as MapReduce, HDFS, YARN, Avro for data serialization, Parquet for nested data, and data ingestion tools Flume and Sqoop.''--