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出版者:O'Reilly Media

作者:Tom White

出品人:

頁數:688

译者:

出版時間:2012-5-26

價格:USD 49.99

裝幀:Paperback

isbn號碼:9781449311520

叢書系列:

圖書標籤:

Hadoop
分布式
並行計算
數據挖掘
大數據
計算機
O'Reilly
編程
大數據
Hadoop
分布式存儲
分布式計算
MapReduce
YARN
數據分析
數據挖掘
雲計算
開源技術

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具體描述

Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you'll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It's ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. This third edition covers recent changes to Hadoop, including new material on the new MapReduce API, as well as version 2 of the MapReduce runtime (YARN) and its more flexible execution model. You'll also find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. * Store large datasets with the Hadoop Distributed File System (HDFS), then run distributed computations with MapReduce * Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), 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 * Load data from relational databases into HDFS, using Sqoop * Take advantage of HBase, the database for structured and semi-structured data * Use ZooKeeper, the toolkit for building distributed systems