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

Authors: Nathan Marz, James Warren

Category: computer book

Price: From $5.27

The first thing that you need to know about Big Data is that it's not just a big collection of data, but rather an approach to data processing. This means that Big Data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers. In this book, Nathan Marz, James Warren cover how to build big data systems using an architecture designed specifically to capture and analyze web-scale data.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data.

The goal of the book is to teach you how to think about data systems and how to break down difficult problems into simple solutions. We start from first principles and from those deduce the necessary properties for each component of an architecture.