Big Data pdf epub mobi txt 電子書 下載 2024


Big Data

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Nathan Marz
Manning Publications
2015-5-10
328
USD 49.99
Paperback
9781617290343

圖書標籤: bigdata  數據挖掘  大數據  計算機  data  manning  編程  big   


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发表于2024-12-23

Big Data epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Big Data epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Big Data pdf epub mobi txt 電子書 下載 2024



圖書描述

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 下載 mobi epub pdf txt 電子書

著者簡介

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.


圖書目錄


Big Data pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

已看完目前寫完的部分。高屋建瓴地介紹如何構建一套滿足並發、穩定、靈活、容錯要求的數據架構。一定要寫書評!

評分

8.9的評分 !? 給5星的朋友 你們真的看過這本書麼?或者說 你們是做分布式係統的麼? 如果是的話 隻能說你們太業餘瞭 這本書入門都不夠!!!!!

評分

8.9的評分 !? 給5星的朋友 你們真的看過這本書麼?或者說 你們是做分布式係統的麼? 如果是的話 隻能說你們太業餘瞭 這本書入門都不夠!!!!!

評分

介紹作者提齣的大數據係統架構lambda architecture. 書中介紹的大數據處理的基本技術原則對我理解大數據處理的方式也有更深入的理解...

評分

這本書終於都齣完瞭,追瞭快一年瞭

讀後感

評分

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...  

評分

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, ...  

評分

很早就听说了大名鼎鼎的Lambda Architecture,但是一直不明白具体的含义。就算读了wikipedia ( https://en.wikipedia.org/wiki/Lambda_architecture ),依然只明其表而不懂其里。好在有这本《Big Data - Principles and Best Practices of Scalable Runtime Data Systems》给予...  

評分

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, ...  

評分

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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