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Hadoop權(quán)威指南(影印版)

Hadoop權(quán)威指南(影印版)

定 價(jià):¥98.00

作 者: (美)懷特 著
出版社: 東南大學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 程序設(shè)計(jì)

ISBN: 9787564126766 出版時(shí)間: 2011-05-01 包裝: 平裝
開本: 16開 頁(yè)數(shù): 600 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  揭示了ApacheHadoop如何為你釋放數(shù)據(jù)的力量。這本內(nèi)容全面的書籍展示了如何使用Hadoop架構(gòu)搭建和維護(hù)可靠、可伸縮的分布式系統(tǒng)。Hadoop架構(gòu)是MapReduce算法的一種開源應(yīng)用,是Google開創(chuàng)其帝國(guó)的重要基石。程序員可從中探索如何分析海量數(shù)據(jù)集,管理員可以了解如何建立與運(yùn)行Hadoop集群?!禜adoop權(quán)威指南(影印版第2版修訂版)》涵蓋了Hadoop最近的更新,包括諸如Hive、Sqoop和Avro之類的新特性。它也提供了案例學(xué)習(xí)來(lái)展示Hadoop如何解決特殊問(wèn)題。期待盡情享受你的數(shù)據(jù)?這就是你要的書。本身由TomWhite著。

作者簡(jiǎn)介

  Tom White從2007年起就是ApacheHadoop的理事。他是Apache軟件基金會(huì)的成員和Cloudera的工程師。Tom為oreilly.com,java.net~llBM的developerWorks撰文,并為業(yè)內(nèi)會(huì)議演講。

圖書目錄

ForewordPreface 1. Meet Hadoop Data! Data Storage and Analysis Comparison with Other Systems RDBMS Grid Computing Volunteer Computing A Brief History of Hadoop Apache Hadoop and the Hadoop Ecosystem 2. MapReduce A Weather Dataset Data Format Analyzing the Data with Unix Tools Analyzing the Data with Hadoop Map and Reduce Java MapReduce Scaling Out Data Flow Combiner Functions Running a Distributed MapReduce Job Hadoop Streaming Ruby Python Hadoop Pipes Compiling and Running3. The Hadoop Distributed Filesystem The Design of HDFS HDFS Concepts Blocks Namenodes and Datanodes The Command-Line Interface Basic Filesystem Operations Hadoop Filesystems Interfaces The Java Interface Reading Data from a Hadoop URL Reading Data Using the FileSystem API Writing Data Directories Querying the Filesystem Deleting Data Data Flow. Anatomy of a File Read Anatomy of a File Write Coherency Model Parallel Copying with distcp Keeping an HDFS Cluster Balanced Hadoop Archives Using Hadoop Archives Limitations4. Hadoop I/0 Data Integrity Data Integrity in HDFS LocalFileSystem ChecksumFileSystem Compression Codecs Compression and Input Splits Using Compression in MapReduce Serialization The Writable Interface Writable Classes Implementing a Custom Writable Serialization Frameworks Avro File-Based Data Structures SequenceFile ……

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