Big Data: Principles and best practices of scalable realtime data systems

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(as of Nov 22,2024 16:31:59 UTC – Details)

From the Publisher

About This Book

Services like social networks, net analytics, and clever e-commerce usually have to handle data at a scale too massive for a standard database. Complexity will increase with scale and demand, and dealing with Big Data shouldn’t be so simple as simply doubling down in your RDBMS or rolling out some stylish new know-how. Fortunately, scalability and simplicity will not be mutually unique—you simply have to take a special strategy. Big Data systems use many machines working in parallel to retailer and course of data, which introduces basic challenges unfamiliar to most builders.

Big Data teaches you to construct these systems utilizing an structure that takes benefit of clustered {hardware} together with new instruments designed particularly to seize and analyze web-scale data. It describes a scalable, easy-to-understand strategy to Big Data systems that may be constructed and run by a small group. Following a practical instance, this ebook guides readers by means of the idea of Big Data systems and how one can implement them in observe.

Big Data requires no earlier publicity to large-scale data evaluation or NoSQL instruments. Familiarity with conventional databases is useful, although not required. The purpose of the ebook is to show you ways to consider data systems and how one can break down tough issues into easy options. We begin from first rules and from these deduce the required properties for every part of an structure.

Publisher ‏ : ‎ Manning Publications; 1st version (May 10, 2015)
Language ‏ : ‎ English
Paperback ‏ : ‎ 328 pages
ISBN-10 ‏ : ‎ 1617290343
ISBN-13 ‏ : ‎ 978-1617290343
Item Weight ‏ : ‎ 1.19 kilos
Dimensions ‏ : ‎ 7.38 x 0.6 x 9.25 inches