Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

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Paperback, Oreilly & Associates Inc, 2013, ISBN13 9781617290343, ISBN10 1617290343
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Teaches readers how to build big data systems using Lambda Architecture, an architecture designed specifically to capture and analyze web-scale data.

About this item

Important Made in USA Origin Disclaimer: For certain items sold by Walmart on Walmart.com, the displayed country of origin information may not be accurate or consistent with manufacturer information. For updated, accurate country of origin data, it is recommended that you rely on product packaging or manufacturer information.

Teaches readers how to build big data systems using Lambda Architecture, an architecture designed specifically to capture and analyze web-scale data.

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive--rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

"Big Data" shows how 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 use them in practice, and how to deploy and operate them once they're built.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Specifications

Number of Pages: 308
Original Languages: English
Author: Warren, James ,  Marz, Nathan
Publisher: Oreilly & Associates Inc
ISBN-13: 9781617290343
Assembled Product Dimensions (L x W x H): 7.50 x 9.00 x 0.50 Inches
ISBN-10: 1617290343
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