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Summary

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 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…


Big Data

ISBN 10 : 1617290343
ISBN 13 : 9781617290343

Summary 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 an..


Principles Of Big Data

ISBN 10 : 9780124047242
ISBN 13 : 0124047246

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to orga..


Scalable Big Data Architecture

ISBN 10 : 9781484213261
ISBN 13 : 1484213262

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the de..


Real Time Analytics

ISBN 10 : 9781118838020
ISBN 13 : 1118838025

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techni..


Big Data Made Easy

ISBN 10 : 9781484200940
ISBN 13 : 1484200942

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and ..


Designing Data Intensive Applications

ISBN 10 : 9781491903100
ISBN 13 : 1491903104

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainabi..


Next Generation Databases

ISBN 10 : 9781484213292
ISBN 13 : 1484213297

"It’s not easy to find such a generous book on big data and databases. Fortunately, this book is the one." Feng Yu. Computing Reviews. June 28, 2016. This is a book for enterpris..