Hadoop Succinctly
简介：
作为Apache开源项目，Hadoop将大量数据存储在安全可靠的存储中，并以高效的方式对数据运行复杂的查询。它是一系列最受欢迎的大数据工具的核心。掌握Hadoop可确保您从所有这些工具中获得最佳效果，并从数据中获得更好的洞察力。本书解释了Hadoop是如何工作的，集群中发生了什么，演示了如何将数据移入和移出Hadoop，以及如何有效地查询它。它还将介绍一个Java MapReduce示例，演示如何在Python和.NET，并讨论了更广泛的Hadoop生态系统。
Hadoop简介开始使用HadoopHDFS-Hadoop分布式文件系统YARN-又一个资源谈判者Hadoop流在集群内部Hadoop发行版Hadoop生态系统
英文简介：
An Apache open source project, Hadoop stores huge amounts of data in safe, reliable storage and runs complex queries over data in an efficient way. It is at the core of a whole host of the most popular Big Data tools. Mastering Hadoop ensures you get the best out of all these tools and better insight from your data.
This booky explains how Hadoop works, what goes on in the cluster, demonstrates how to move data in and out of Hadoop, and how to query it efficiently. It also walks through a Java MapReduce example, illustrates how to write the same query in Python and .NET, and discusses the wider Hadoop ecosystem.
Introducing HadoopGetting Started with HadoopHDFS - The Hadoop Distributed File SystemYARN - Yet Another Resource NegotiatorHadoop StreamingInside the ClusterHadoop DistributionsThe Hadoop Ecosystem
- 书名
- Hadoop Succinctly
- 译名
- Hadoop 简明版
- 语言
- 英语
- 年份
- 2015
- 页数
- 756页
- 大小
- 9.60 MB
- 标签
- Hadoop
- 简明教程
- 大数据
- 下载
Hadoop Succinctly.pdf- 密码
- 65536
最后更新：2025-04-12 23:58:01
→Machine Learning for Data Streams: Practical Examples in MOA (Massive Online Analysis)