While there are many courses and tutorials online, learning from a book is still one of the best ways to greatly improve your skills. Below I have selected top Big Data books.
- Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
- Big Data: Principles and best practices of scalable realtime data systems (2015)
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)
- The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science (2019)
- Big Data For Dummies (2013)
- The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios (2017)
- Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (2018)
- Storytelling with Data: A Data Visualization Guide for Business Professionals (2015)
- Big Data Science & Analytics: A Hands-On Approach (2016)
- Machine Learning: Beginner’s Guide to Machine Learning, Data Mining, Big Data, Artificial Intelligence and Neural Networks (2019)
- Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things (2017)
- Essentials of Statistics (5th Edition) (2014)
- Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl) (2016)
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)
Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)
“Illuminating and very timely . . . a fascinating — and sometimes alarming — survey of big data’s growing effect on just about everything: business, government, science and medicine, privacy, and even on the way we think.”—New York TimesIt seems like “big data” is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
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 maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application?
Big Data: Principles and best practices of scalable realtime data systems (2015)
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.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect.
The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science (2019)
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises.
Big Data For Dummies (2013)
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools.
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios (2017)
The Big Book of Dashboards presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards.
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (2018)
Be prepared for next semester and get set for back to school!Foreword by Steven PinkerBlending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.By the end of an average day in the