Big Data pdf epub mobi txt 电子书 下载 2024


Big Data

简体网页||繁体网页
Nathan Marz
Manning Publications
2015-5-10
328
USD 49.99
Paperback
9781617290343

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发表于2024-12-23

Big Data epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Big Data epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Big Data pdf epub mobi txt 电子书 下载 2024



图书描述

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling big data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and simplicity are not mutually exclusive—you just need to take a different approach. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

Big Data teaches you to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.

Big Data shows you how to build the back-end for a real-time service called SuperWebAnalytics.com—our version of Google Analytics. As you read, you'll discover that many standard RDBMS practices become unwieldy with large-scale data. To handle the complexities of Big Data and distributed systems, you must drastically simplify your approach. This book introduces a general framework for thinking about big data, and then shows how to apply technologies like Hadoop, Thrift, and various NoSQL databases to build simple, robust, and efficient systems to handle it.

Big Data 下载 mobi epub pdf txt 电子书

著者简介

Nathan Marz is an engineer at Twitter. He was previously Lead Engineer at BackType, a marketing intelligence company, that was acquired by Twitter in July of 2011. He is the author of two major open source projects: Storm, a distributed realtime computation system, and Cascalog, a tool for processing data on Hadoop. He is a frequent speaker and writes a blog at nathanmarz.com.

Sam Ritchie is an engineer at Twitter who uses Cascalog and ElephantDB to process and analyze many terabytes of data in near real-time. He is also the lead developer on FORMA, an open-source deforestation monitoring system in use by a number of top research institutions. He is a committer on Cascalog, ElephantDB, Pallet and a number of other open source Clojure projects.


图书目录


Big Data pdf epub mobi txt 电子书 下载
想要找书就要到 小哈图书下载中心
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

用户评价

评分

读完了,收益匪浅,batch view 方面我还是觉得集团的架构更好,以时间对 partition 做数据分区,重跑任务,一定能够保证某一 partition 数据被订正,还是能够解决batch view 无法精确的问题的。

评分

一看就犯困 对于非行业的外行看看讲理论的章节就有很多收获了

评分

对于门外汉,理念有收获。

评分

一看就犯困 对于非行业的外行看看讲理论的章节就有很多收获了

评分

这本书介绍作者称为 Lambda Architecture 的架构 内容的组织对应架构的三个 layer:Batch | Serving | Speed 因为网速问题没能下载到运行环境,所以一些关于开发效率或者是否容易理解的设计决策没有办法亲自体会 不过还是觉得作者很厉害,可以把大的需求拆分成外行人用 common sense 就能 follow 的小问题

读后感

评分

前几天看到一个行业相关的云平台技术方案的架构图,粗略看了一下,觉得其应该是基于经典的大数据方案构建的,所以决定静下心来,在2019年这个大数据已经渐凉的时间点上,对大数据架构进行一下考古,自己补习一下。找来找去,目前谈大数据架构的书籍只有这本还算不错,其他的书...  

评分

本书由大数据专家撰写。 我知道这点,因为我从事数据销毁相关的工作十年了。 现在我读了这本书,我发现我的所有问题都在本书中得到解决。 事实上,所讨论的每个问题都出现在我的管道中,好像作者在我的项目中与我一起工作。另一本对我来说非常有用的功能是它是第一本我可以找到...

评分

本书由大数据专家撰写。 我知道这点,因为我从事数据销毁相关的工作十年了。 现在我读了这本书,我发现我的所有问题都在本书中得到解决。 事实上,所讨论的每个问题都出现在我的管道中,好像作者在我的项目中与我一起工作。另一本对我来说非常有用的功能是它是第一本我可以找到...

评分

前几天看到一个行业相关的云平台技术方案的架构图,粗略看了一下,觉得其应该是基于经典的大数据方案构建的,所以决定静下心来,在2019年这个大数据已经渐凉的时间点上,对大数据架构进行一下考古,自己补习一下。找来找去,目前谈大数据架构的书籍只有这本还算不错,其他的书...  

评分

1. 大名鼎鼎的 Lambda 架构作者的书; 2. 喜欢这样条分缕析的思路 3. Human-fault tolerance is not optional 4. example 有点多余, 信息冗杂读较高 4. Lambda 架构 serving layer 对 normalization/denormalization 解决的的确很好 5. 如果能够在刚接触大数据的时候读这本书, ...  

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