According to Forbes, some of the Big Data facts include:
- More data hasbeen created in the past two years than in the entire previous history of the human race.
- By the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet.
- 73% of organizations have already invested or plan to invest in big data by 2016
- At the moment less than 0.5% of all data is ever analyzed and used.
All the above mentioned facts are shouting just one thing – So Many Career Opportunities. Yes that’s true because, if so much of data is generated then it requires to be analyzed so businesses can make good decisions based on that data analysis, which means there will be a rise in the demand for data analysts, data scientists, data engineers, data researchers etc.
To make a great career in the field of Big Data you require in depth knowledge and below are some books that will help you with that.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Author: Viktor Mayer-Schonberger and Kenneth Cukier
Amazon Rating: 4.2
Synopsis:
What does Big Data actually mean? Big Data: A Revolution That Will Transform How We Live, Work, and Think answers this question in the most convincing way. It explores the use of Big Data in businesses, politics, health and many more fields. It covers the topics like data ethics, collection techniques and it also talks about the natural shift in our thought process. It provides you the examples that are easy to understand. It not only talks about the benefits of Big Data but also talks about its hazards that include pervasive damage of personal privacy.
In short, 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.
The Analytics Revolution: How to Improve Your Business By Making Analytics Operational In The Big Data Era
Author: Bill Franks
Amazon Rating: 4.8 stars
Synopsis:
The Analytics Revolution is a real help for those people or organizations who want to bring a positive change by leveraging their data. The book includes:
- An overview of what operational analytics are and what trends lead us to them
- Tips on structuring technology infrastructure and analytics organizations to succeed
- A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered
The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t
Author: Nate Silver
Amazon Rating: 4.3 stars
Synopsis:
If science, economics and predictions impresses you a lot then The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t is a must read for you. This book talks about evaluating prediction for finance, stock markets, earthquakes, baseball etc. As the name suggests, it also talks about failures of predictions and the reason behind them. It is a good read for anyone who wants to find out the success behind the accurate and meaningful predictions.
With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Author: Eric Seigal
Amazon Rating: 4.1 stars
Synopsis:
As the title suggests, Predictive Analytics talks about how organizations judge human behavior to predict who will click and who will buy. This book unleashes the power of data; it shows how data can be used for predicting future trends which helps the organizations to make the decisions in the present.
For future hands–on practitioners pursuing a career in predictive analytics, this book sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits
Author: Russel Glass & Sean Calahan
Amazon Rating: 4.8 stars
Synopsis:
The Big Data-Driven Business gives you a lot of real life examples of Apple, Blackberry, Corpenicus etc. which show that how people will use Big Data to predict the future trends. Through this book you can:
- Learn what big data is, and how it will transform the enterprise
- Explore why major corporations are betting their companies on marketing technology
- Read case studies of big data winners and losers
- Discover how to change privacy and security, and remodel marketing
The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits gives the businesses the perfect guidance to businesses for using the data in the right way.
The Human Face of Big Data
Author: Rick Smolan & Jennifer Erwitt
Amazon Rating:Â 4.2 stars
Synopsis:
The images and stories captured in The Human Face of Big Data are the result of an extraordinary artistic, technical and logistical juggling act aimed at capturing the human face of the Big Data Revolution. The Human Face of Big Data explains the concept of Big Data from many interesting perspectives. It will enable you to sense, understand and measure phases of your existence in ways that were not possible before.
Too Big to Ignore: The Business Case for Big Data
Author: Phil Simon
Amazon Rating: 4.7 stars
Synopsis:
Just like the name, this book is too important to be ignored. Too Big to Ignore: The Business Case for Big Data
is targeted towards the CIOs, CEOs, Presidents and the IT professionals. If you already have a fair idea about the workings of Big Data and Data Science then you should definitely read this book. In this book, the author provides commonsense advice for organizations looking to make sense out of the information streaming to them with unprecedented volume, velocity, and variety.
Data Science for Business: What You Need to Know about Data Mining and Data-analytic Thinking
Author: Foster Provost & Tom Fawsett
Amazon Rating: 4.6 stars
Synopsis:
Data Science for Business will provide you with the basic understanding of data science by discussing the fundamental principles in the context of business examples. It also covers the most common techniques and methods use for data science. After reading this book you’ll be able to:
- Understand how data science fits in your organization—and how you can use it for competitive advantage
- Treat data as a business asset that requires careful investment if you’re to gain real value
- Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
- Learn general concepts for actually extracting knowledge from data
- Apply data science principles when interviewing data science job candidates
This book is targeted towards the people who will be working with data scientist, developers who will be implementing data science solutions and the aspiring data scientists.
So that was the list of some Best Books on Big Data. So which one you are planning to read first?
EduPristine provides online as well as classroom training on Big Data & Hadoop. So along with the theoretical knowledge if you are looking for practical training then check out the Big Data and Hadoop course details.
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