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.
发表于2025-02-02
Big Data 2025 pdf epub mobi 电子书
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...
评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...
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...
图书标签: bigdata 数据挖掘 大数据 计算机 data manning 编程 big
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.
已看完目前写完的部分。高屋建瓴地介绍如何构建一套满足并发、稳定、灵活、容错要求的数据架构。一定要写书评!
评分读了其中的理论章节和开始的几个实现章节,受益良多。。基本上就是讲lambda architecture,可惜技术再好,你twitter也要死了。。
评分介绍了作者构思的Lambda架构,贯穿其中介绍了很多分布式数据系统设计需要注意的原则和理论知识。这部分原则和理论知识很不错。 此外介绍了不少理论知识的实际实现,感觉这部分拿捏得不是很好。作者不想让某个设计和某个具体的实现工具绑死,所以在有意减少实现部分笔墨。但是实现的具体细节又介绍了不少,书中又没有整体贯通成一个可以运行的实现,读起来效果不理想。个人建议阅读实现部分时,不要花太多心思。 2015.10
评分草草看完了,思路上清晰了一点,但感悟还是不够深,需要把每一个提到的东西稍微研究一下才行…
评分介绍作者提出的大数据系统架构lambda architecture. 书中介绍的大数据处理的基本技术原则对我理解大数据处理的方式也有更深入的理解...
Big Data 2025 pdf epub mobi 电子书