At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Big Data books – and here are the answers.
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Understanding the concepts of Big Data starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.
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.
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This book reveals how algorithms and mathematical models can perpetuate discrimination and undermine democracy, urging for transparency and accountability in their use.
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THE HUMAN FACE OF BIG DATA explores our vulnerabilities in the new cyber era, spotlighting issues of personal privacy, government surveillance and civil liberties, and the implications for the future of democracy when people's lives are chronicled and exposed to known and unknown entities.
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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.
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This is an engaging book about how big data can be used to improve our understanding of human behavior, thinking, emotions, and preference. The basic idea is that if you ask people about their behavior or their preferences in surveys, even anonymous surveys, they will often lie.
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These books are not required for you to learn Big Data, but they are highly recommended for you to deepen your knowledge.
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.
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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 get solid, real-world business results - and putting that in place to improve performance. Big Data w…
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In "Too Big to Ignore," recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data--the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever.
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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 possible.
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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, setup, and Maven coordinates.
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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.
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