Hadoop

Hadoop pdf epub mobi txt 电子书 下载 2025

出版者:Yahoo Press
作者:Tom White
出品人:
页数:628
译者:
出版时间:2010-10-12
价格:USD 49.99
装帧:Paperback
isbn号码:9781449389734
丛书系列:
图书标签:
  • hadoop 
  • 计算机科学 
  • 计算机 
  • 程序设计 
  • 分布式计算 
  • 软件开发 
  • 架构设计 
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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

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中文版412页: 所以理论上,任何东西都可以表示成二进制形式,然后转化成为长整型的字符串或直接对数据结构进行序列化,来作为键值。 原文460页: ..., so theoretically anything can serve as row key, from strings to binary representations of long or even serialized ...  

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其实也不算全部读完了,读它主要是为了技术选型,考虑升级持久层架构、提高系统可扩展性,仔细研读了前几章,对Hadoop、MapReduce、HDFS的模型、机制、使用场景有了一定了解。后面几章及其生态圈内的其他项目抱着了解的心态简单浏览了一下。整体感觉还行,至少从我看过的章节来...  

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翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻译的跟gousi一样翻...  

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