Paul Zikopoulos and his team of co-authors have just finished their 3rd Big Data book and it is being published this October. Just in time for the IBM Insight Conference, attendees will be given a free copy of the book that will bring them up to date on what is going on in this over-hyped area.
Here are the details about the book:
“Big Data Beyond the Hype” - A Guide to Conversations for Today’s Data Center
Author team: Paul Zikopoulos, Dirk deRoos, Chris Bienko, Rick Buglio, Marc Andrews; Edited by Roman Melnyk
One of the great things that I get to do for these books is to help create the text on the cover of the book. To do this, I had to read much of the book as it existed in draft format and try to put something together that tells readers what’s in the book and why they should spend their precious time reading this one versus the thousands of other books that are available.
After reading a chapter or two, I was very excited. I really like the writing style of this author team, and since I do know Paul quite well, I can see his personality in the writing. Paul makes technical things extremely readable and understandable. I pulled what I could from what I read and came up with this:
The term Big Data is a bit of a misnomer. Truth be told, we’re not even big fans of the term—despite the fact that it is so prominently displayed on the cover of this book—because it implies that other data is somehow small (it might be) or that this particular type of data is large in size (it can be, but doesn’t have to be).
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today’s data resides.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
That text makes me want to read the book, and I hope it gives you incentive to read it as well. For those of us in the data industry, big data is by far the most hyped term in existence the past 5 years or so. I see the potential of big data but also see that if something gets this much hype, it must be too good to be true. But, it is true! And those who are willing to take it the next step will surely reap the rewards. IBM has been investing heavily in this area and as you read this latest book, you’ll see the end to end solution that IBM is offering.
Do yourself a favour: get a copy of this book, read it, and draw your own conclusions.