In 2010 Eric Schmidt, then CEO of Google, stated that we now create as much data every 2 days as we did from the dawn of man through 2003. In fact, in 1212 we created about 2.5 quintillion bytes of data daily--approximately 90% of all the world's data has been created in the past 2 years.
Our world is transforming as the data deluge knocks us out of our old ways and into a data driven reality. Some companies are winning by taking advantages of the opportunities in this evolving world while others are falling behind. Big Data promises to give us a world driven by information and solid data, bringing far greater productivity, increased profits, and lower costs; and in "Secrets of the Big Data Revolution" we explore those winning strategies and techniques and the tools behind them.
Want to learn how companies like Amazon, Target, and IBM use data to gain competitive advantages? Or how Obama used Big Data tools to better utilize his resources? "Secrets of the Big Data Revolution" was written for the non-or-only-slightly-technical business person in mind--but in a way that gives you enough meat behind the ideas so that you have a roadmap that tells you how to get where you want to go. It uses real-world examples and case studies to illustrates the concepts and explore the technology that makes them happen.
"Secrets of the Big Data Revolution" is comprised of four parts:
Part 1: Data Science
In Part 1 we first introduce you to the world of data science and analytics. These are the tools companies and governments use to refine their crude data into valuable insights. In this section, we'll look at the magic behind Amazon's success, and see how data is leading towards a near Minority Report future.
Part 2: Big Data
Data is growing at an exceptional rate, we produce more data now in a day than we did from the dawn of man till 2003. This explosion of data creates many unique struggles as well as opportunities. In this section we'll look at how Obama invested in Big Data during his presidential campaign, and explore how startups are revealing data that saves their clients substantial capital.
Part 3: Tools of the trade
Data Scientists cannot just look at big data and get value from it, it doesn't matter how good they are. The data is just too big. So companies like IBM and Microsoft build tools that help people make sense of data, and hopefully discover new useful insights from it. The two primary categories of tools you need to be aware of are Business Intelligence and Data Discovery. In this section we explore these broad terms, and show how companies are designing more specialized tools for specific purposes.
Part 4: Gazing into the Future
In order to position yourself well for what is to come you need to know where we are now and almost more importantly where we are going to be in the near future. In this section we explore the trends that are going to matter as we move forward in this emerging technology industry. Computerized Data Analytics is truly still in its early stages of development, and things are going to change as new innovations come to the forefront. If we are serious about gaining the data advantage, we need to stay ahead of this curve.
"Secrets of the Big Data Revolution" is your tool to understanding this complex new reality of your world. Get it today and don't miss out on the data driven future.
It seems like every blogger and every journalist, even David Brooks from the NY Times, is writing about the Big Data Revolution. I have personally been getting very tired of the same old tired story line they are writing about, "Big Data is the savior of the world". I have also been recently getting tired of the naysayers who are writing articles or books on the other side calling Big Data just another fad. Of course, as is with most of life and our world, the truth lies somewhere in the middle, which is where I found this book to land. Very practical advice for beginners to the Big Data world with explanations of what key terms mean. But also some truly interesting and visionary guidance on where you should be thinking about going with Big Data for your own company. The thing that I enjoyed the most about the book was the examples they gave of real world companies or organizations that are using Big Data principles to effect real change in the way they approach their market. The example of the College in Arizona was fascinating to me and it seems like there was one example after another that really drove things home for me. I wish more books took this story telling approach when it came to this topic.
I highly reccomend this book to both novices and also to those that have a fair amount of experience in the space. The authors do a great job of balancing the book to be useful and informative for both sets of users.