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

TLDR: Big Data describes a scalable, easy to understand approach to big data systems that can be built and run by a small team that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.

Abstract: 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 exclusiverather 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