Goodreads helps you keep track of books you want to read.
Start by marking “Big Data Now: Current Perspectives from O'Reilly Radar” as Want to Read:
Big Data Now: Current Perspectives from O'Reilly Radar
Enlarge cover
Rate this book
Clear rating
Open Preview

Big Data Now: Current Perspectives from O'Reilly Radar

3.29  ·  Rating Details ·  212 Ratings  ·  11 Reviews

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 co

...more
ebook, 137 pages
Published (first published August 1st 2011)
More Details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Big Data Now, please sign up.

Be the first to ask a question about Big Data Now

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

(showing 1-30)
filter  |  sort: default (?)  |  Rating Details
Will
Apr 22, 2013 Will rated it it was ok
As much as I like reading about technical stuff, this book was unsatisfying.

Admittedly, this book is a bit out of date now. And everyone is very earnest, and clearly thinking hard in this book. But this is roughly how each essay felt:

Person talks about how data science is important in [CHOSEN TOPIC]. Then, how [OBVIOUS PROBLEM A] is surprisingly related to [OBVIOUS PROBLEM B] and so after some thought, is something that deserved more attention and [NEW STARTUP] is specializing in [MONETIZING THE
...more
Richard Magahiz
Aug 20, 2013 Richard Magahiz rated it liked it
Recommends it for: data scientists
Series of short form essays and interviews circa 2010, still relevant. Most of the links still work at the current time, which is worth something. It is a mix of big picture and details of implementations which may no longer be current, discussed at a level where one does not need to be an insider to understand the gist of the subjects. It served as a useful guide to the architecture behind the largest fixtures in the Big Data space though of course it leaves out the ones who have only made a na ...more
Jane
Jan 14, 2012 Jane rated it really liked it
This, although a bit dated, is a really good primer into the terminology, challenges and excitement of "big data". It's available as a free PDF download. There are a lot of adverts in amongst the text, and they're all for a conference that has already been and gone. Whilst annoying, it was a free download, so I don't feel I can really complain. I now subscribe to a filtered O'Reilly Radar feed looking for big data related articles to continue my learning
Upom
Interesting series of interviews and essays about what big data holds in store for people. It was bit fragmented, and some essays were really jargony, but perhaps the state of big data itself: no one is quite sure whats going on. In some sense though, it's a perfect way to understand what is going on in this rapidly evolving concept.
Aleksander Shtuk
Jul 16, 2013 Aleksander Shtuk rated it it was amazing
This book contains tons of interesting information, interviews, opinions,questions about big data and companies and people already involved in development. For some people this is a dated information, but for me it was very informative.
Rmichno
Nov 24, 2013 Rmichno rated it liked it
Shelves: tech
A mixed bag of essays on Big Data. Some of the technical ones were interesting and I learned new things. Some of the case studies and interviews with people in the Big Data product area were less interesting.
Yougerten
May 02, 2015 Yougerten rated it really liked it
Pretty straight forward and simple to read if you want to have a general idea and intriduction about Big Data
Michael
May 01, 2012 Michael rated it liked it
Shelves: computing, 2012_read
Read the first 1/3 if you don't already know the jargon.
Bill
Aug 21, 2012 Bill rated it really liked it
An interesting collection of topics and interviews. My favorite was a reminder how useful some UNIX commandline tools still are. I learned a couple of new ones, to go along with my old favorites.
Mms Mamdouh Al Shamy
a collection of articles which talk about diverse topics about Big Data from definitions, concepts, elements, difficulties, current startup examples and thoughts about the future of Big Data
Larsanders
Larsanders rated it really liked it
Jul 13, 2012
Sydluke
Sydluke rated it liked it
Mar 10, 2014
Cecilia Dunbar Hernandez
Cecilia Dunbar Hernandez rated it it was amazing
Feb 07, 2016
Hyung Jun Kim
Hyung Jun Kim rated it really liked it
Sep 21, 2015
Kehinde Popoola
Kehinde Popoola rated it liked it
Feb 08, 2017
Kalei Muller
Kalei Muller rated it liked it
Feb 07, 2017
Abhi
Abhi rated it liked it
Aug 28, 2014
Pabloa
Pabloa rated it liked it
Nov 16, 2012
James Breese
James Breese rated it it was amazing
Sep 10, 2016
Elle
Elle rated it liked it
May 11, 2014
Pedro Cardoso
Pedro Cardoso rated it liked it
Apr 22, 2014
Rui Natário
Rui Natário rated it really liked it
Jan 07, 2014
MM Zeeman
MM Zeeman rated it it was ok
Sep 09, 2016
Anantha Kumaran
Anantha Kumaran rated it it was ok
May 01, 2012
Craig Daniels
Craig Daniels rated it it was ok
May 17, 2015
Allisonperkel
Allisonperkel rated it it was ok
Jul 07, 2013
Anthony W. Noblett
Anthony W. Noblett rated it really liked it
May 16, 2015
Scott Jones
Scott Jones rated it it was ok
Jan 28, 2017
Ruiyi Zhang
Ruiyi Zhang rated it liked it
Mar 08, 2015
Mae Coughlin
Mae Coughlin rated it liked it
Sep 30, 2014
« previous 1 3 4 5 6 7 8 next »
There are no discussion topics on this book yet. Be the first to start one »
  • Building Data Science Teams
  • HTML5 for Publishers
  • Big Data Now: 2012 Edition
  • What Is Node?
  • Planning for Big Data: A CIO's Handbook to the Changing Data Landscape
  • What Is Data Science?
  • What's New in Java 7?
  • Learning Javascript Design Patterns
  • The Past Present and Future of JavaScript
  • The Crowdfunding Bible: How to Raise Money for Any Startup, Video Game or Project
  • CSS and Documents
  • Social Media Marketing for Publishers
  • Programming Scala: Scalability = Functional Programming + Objects
  • RESTful Web Services Cookbook
  • CSS3: The Missing Manual
  • Big Data
  • WordPress: The Missing Manual
  • Big Data for Dummies

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

Share This Book



“The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.” 0 likes
“Making data tell its story isn’t just a matter of presenting results; it involves making connections, then going back to other data sources to verify them.” 0 likes
More quotes…