Top Big Data books curated by experts

this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming…

There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to g…

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Big Data For Dummies will improve your big data knowledge, from the ground floor—basics like what big data is and why you should care about it—all the way to more advanced concepts like implementing big data solutions, securing and storing data, and presenting big data.

This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It's not about coding or database technologies. It's about turning raw data into insight you can act upon, and doing it as quickly and painlessly as po…

In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.

The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point.

Dataclysm is all about what we can learn about human minds and hearts by analyzing the massive ongoing experiment that is the internet." "The book reads as if it's written (well) by a curious child whose parents beg him or her to stop asking "what-if" questions.

This book reveals how algorithms and mathematical models can perpetuate discrimination and undermine democracy, urging for transparency and accountability in their use.