Start reading Big Data Now: Current Perspectives from O'Reilly Radar on your Kindle in under a minute. Don't have a Kindle? Get your Kindle here or start reading now with a free Kindle Reading App.

Deliver to your Kindle or other device

 
 
 
Anybody can read Kindle books—even without a Kindle device—with the FREE Kindle app for smartphones, tablets and computers.
Big Data Now: Current Perspectives from O'Reilly Radar
 
 

Big Data Now: Current Perspectives from O'Reilly Radar [Kindle Edition]

O'Reilly Radar Team
4.5 out of 5 stars  See all reviews (2 customer reviews)

Kindle Price: £0.00 includes free wireless delivery via Amazon Whispernet

Formats

Amazon Price New from Used from
Kindle Edition £0.00  
Kindle Summer Sale: Over 500 Books from £0.99
Have you seen the Kindle Summer Sale yet? Browse selected books from popular authors and debut novelists, including new releases and bestsellers. Learn more

Customers Who Bought This Item Also Bought


Product Description

Product Description

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:

Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself.

The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research.

Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.

The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.


Product details

  • Format: Kindle Edition
  • File Size: 873 KB
  • Print Length: 149 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (30 Aug 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B005KDPILI
  • Text-to-Speech: Enabled
  • X-Ray:
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: #10,846 Free in Kindle Store (See Top 100 Free in Kindle Store)
  •  Would you like to give feedback on images?


More About the Author

Discover books, learn about writers, and more.

What Other Items Do Customers Buy After Viewing This Item?


Customer Reviews

3 star
0
2 star
0
1 star
0
4.5 out of 5 stars
4.5 out of 5 stars
Most Helpful Customer Reviews
4.0 out of 5 stars short and fun but can't remember a thing 2 Aug 2013
Format:Kindle Edition|Verified Purchase
Read it in five minutes. Seemed like a quick presentation of reasonable ideas, but a week later I can't remember any points it made. It might be a CRAFT effect of my old age, but I suspect it didn't exactly set the heather alight!
Comment | 
Was this review helpful to you?
5.0 out of 5 stars Good 26 Mar 2013
Format:Kindle Edition|Verified Purchase
This book is really good, perfect for what I needed. The writing style was really good, and easy to understand.
Comment | 
Was this review helpful to you?
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.1 out of 5 stars  30 reviews
5 of 6 people found the following review helpful
4.0 out of 5 stars Thorough introduction to the current Big Data landscape 1 July 2012
By Erik Gfesser - Published on Amazon.com
Format:Kindle Edition
Thorough introduction to the current Big Data landscape. After discussions of data science, associated tooling used in this space, and issues likely to be encountered with data, which comprise about half the text, the editors shift the discussion to the application of data science findings and the business of data. The only dissenter in terms of the effectiveness of what the authors share here actually touches upon a benefit rather than a drawback when they write that this book was apparently not written by data scientists: because the authors write with management in mind, the discussion does not get lost in the many technical details that comprise Big Data, but instead provides a compact, highly readable summary of a range of related subject matter.

The authors tackle Big Data terminology well, beginning with the term "Big Data" itself. "We've all heard a lot about 'big data' but 'big' is really a red herring. Oil companies, telecommunication companies, and other data-centric industries have had huge datasets for a long time. And as storage capacity continues to expand, today's 'big' is certainly tomorrow's 'medium' and next week's 'small'. The most meaningful definition I've heard: 'big data' is when the size of the data itself becomes part of the problem. We're discussing data problems ranging from gigabytes to petabytes of data. At some point, traditional techniques for working with data run out of steam." The aspect that makes what is now being attempted different is that information platforms designed to explore and understand data, beyond traditional business intelligence, are being built.

As a consultant, I especially appreciate the links that the editors provide throughout for tooling and other technical subjects that would otherwise significantly increase the length of this white paper sized book. The interviews with individuals from companies in this space, such as Infochimps and Gnip, is also appreciated. And although it ends rather abruptly, the last chapter on the business of data, which compliments the first chapter, is especially well done, including a discussion of the emerging Big Data stack comprised of both open source and commercial products that furthers the presention of the SMAQ stack (Storage, MapReduce, and Query) discussed earlier in the book. Recommended to anyone within or looking to enter the Big Data space.
2 of 2 people found the following review helpful
3.0 out of 5 stars Cursory and Anecdotal 30 Jan 2014
By Dr. Bojan Tunguz - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
As someone who is enthusiastic about technology, but not necessarily an insider, I've been wondering what Big Data is all about for a while. A few short e-books from O'Reilly media have managed to clear give me a pretty clear picture. This short e-book has certainly helped too, but it's not the best introduction to the subject that I've come across. It is comprised of several essays, expositions and interviews, each of which is meant to give you a taste of what is meant by Big Data. Mike Loukides' "What is Data Science?" is probably the best pert of the ebook, especially if you are a total noob. However, it is available as a separate Kindle ebook in its own right, and I would recommend that you just read it that way. The interviews are somewhat interesting, but most of them suffer from the tendency of the interlocutors to overhype their own perspective. In the end, I've come away from this book believing that Big Data is indeed a qualitatively new way of approaching data, information, and businesses that are constructed around it. However, it's still a hodgepodge of different skills and practices that cannot quite be pinned down. In a way, this flexibility can be a strength when working in a rapidly changing and competitive technological and business environments, but it makes hard for the outsiders to understand what this field is exactly about.
1 of 1 people found the following review helpful
4.0 out of 5 stars Overview 16 Aug 2013
By Peter Wilbur - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
Nice overview of what is happening in various areas with "big data". Does not get too deep into any subject but does try to offer definitions and discusses tools.
1 of 1 people found the following review helpful
4.0 out of 5 stars Great for Free, Chapters on Different Subjects 9 April 2013
By E. Walker - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
This has two or three chapters that do a good job of explaining what Big Data is, and what the tools are to work with it. That was exactly what I was looking for. It does a good job of explaining in general terms what Hadoop is, and what programs like PIG and HIVE have to do with it.
4.0 out of 5 stars Good informative book for beginners 13 Feb 2014
By Amazon Customer - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
Good informative book for beginners. This book and 2012 edition are too good to know about Big Data and its concepts.
Were these reviews helpful?   Let us know
Search Customer Reviews
Only search this product's reviews

Popular Highlights

 (What's this?)
&quote;
“big data” is when the size of the data itself becomes part of the problem. &quote;
Highlighted by 57 Kindle users
&quote;
Andrew Ng’s Machine Learning course is one of the most popular courses in computer science at Stanford, with hundreds of students (this video is highly recommended). &quote;
Highlighted by 54 Kindle users
&quote;
The need to define a schema in advance conflicts with reality of multiple, unstructured data sources, in which you may not know what’s important until after you’ve analyzed the data. &quote;
Highlighted by 51 Kindle users

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 

Search Customer Discussions
Search all Amazon discussions
   


Customers Who Highlighted This Item Also Highlighted


Look for similar items by category