Big Data

  • by Bernard Marr
  • Narrated by Piers Wehner
  • 6 hrs and 29 mins
  • Unabridged Audiobook

Publisher's Summary

Get smart - learn to convert the promise of Big Data into real-world results.
There is so much buzz around big data. We all need to know what it is and how it works. 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 shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organisations large and small use the SMART model to get ahead.

More

See More Like This

Customer Reviews

Most Helpful

Fluff Data

This book is targeted towards an absolute neophyte who is interested in understanding what the term big data means when he/she heard it advertised by IBM during last year's Superbowl.

What this book does. It takes all the buzz words that can be found by google or Wikipedia, and defines them. Marr attempts to put big data a structure that is too simplistic it's akin to summing up raising a child as: birth, growth, teenage conflict, adulthood. True, but is it worth the credit? NO. This is a pass of "big data" proportions.
Read full review

- G. House Sr. "I am an avid listener. I listen between 75-100 hours per month on my iPhone: 60% fiction to 40% non-fiction."

It would deserve an A (if it was a school paper)

This book would be a good introduction to a real book about Big Data. There's some good concepts in it, but it barely touches the issue making it sound like a introduction book about data itself, not big data. Dealing with big data brings some issues specific to the task that were not addressed.

Some questions I still have: what are the technologies I can apply in order to deal with huge amounts of data? Where should I store it? What do I plug-in in order to extract some information from it? Where do I get more information? What kind of professionals should I hire? I already have the damned smart questions, I have the datasets, how do I move on? Hiring the author is the only solution?

If my customers ask me about big data I'll have nothing pragmatic to tell them.
Read full review

- Claudio B. Kerber "I commute 35 Km a day on my bicycle listening to Audible. I love it (both riding and listening)."

Book Details

  • Release Date: 08-31-2015
  • Publisher: Audible Studios