| Summary: | "Transcends individual tools or platforms. Required reading for anyone working with big data systems." Jonathan Esterhazy, Groupon Big Data teaches you to build big data 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 Video Editions 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. Inside: Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills This Video Editions book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. A comprehensive, example-driven tour of the Lambda Architecture with its originator as your guide. Mark Fisher, Pivotal Contains wisdom that can only be gathered after tackling many big data projects. A must-read. Pere Ferrera Bertran, Datasalt The de facto guide to streamlining your data pipeline in batch and near-real time. Alex Holmes, Author of "Hadoop in Practice" NARRATED BY MARK THOMAS AND CHRIS PENICK
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