Noreen Seebacher

The Daunting Task of Defining Big-Data

NO RATINGS
View Comments: Newest First | Oldest First | Threaded View
Page 1 / 2   >   >>
Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:26:04 AM
NO RATINGS


Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:23:42 AM
NO RATINGS


Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:21:49 AM
NO RATINGS
The Definition of Enterprise Big Data

Big Data is emerging from the realms of data science projects to help companies understand exactly, make decisions, and act in real-time to better serve their customers and target markets. The IT techniques and tools to execute big data processing are new, very important and exciting.

Ariella
User Rank
Blogger
Re: the anti-definition
Ariella   11/27/2012 10:21:08 AM
NO RATINGS
@Noreen love the crystal ball image! That suggests yet another name for the people who work with big data: see-ers.

Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:19:29 AM
NO RATINGS


Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:16:46 AM
NO RATINGS


Noreen Seebacher
User Rank
Blogger
Re: the anti-definition
Noreen Seebacher   11/27/2012 10:16:07 AM
NO RATINGS


Ariella
User Rank
Blogger
Re: the anti-definition
Ariella   11/19/2012 11:15:07 AM
NO RATINGS
@philsimon That's a good way to put it. I've seen other articles that identify "big data" as that which is not yet set for use, whether you call it structured or "cleaned," as suggested in Big v. Small Data – Why Marketers Today Need to Know the Difference

DukeGanote
User Rank
Prospector
Re: lotta data -- 120 Years of the New Frontier
DukeGanote   11/18/2012 6:57:30 AM
NO RATINGS
"Big data" started at least 120 years ago-- even if the buzzword is more recent. Vincent McBurney wrote a superb blog entry about "big data", which I highlighted in my own here:

http://it.toolbox.com/blogs/data-ruminations/a-short-history-of-big-data-the-new-frontier-53878





scorellis
User Rank
Prospector
Re: lotta data
scorellis   11/18/2012 2:24:30 AM
NO RATINGS
We have spent the past yeart trying to define "big data."  In the end, it comes down to a couple of things.  A) people like to think they have big data, even when they don't.  Here is why I say this.  If you have a 32 GB 8 core SQL server and you have a database table with 250 GB of data in it. yeah, you might think you have big data.  If you have 900 GB of data, and 512 GB of RAM on your database server, you might think you have "big data." No, you don't,  B) If you have a 6TB table of data in your DB, and you have 2 TB of RAM, and you think you have big data, YES. YOU DO.  Well, at least according to my definition...my definition, constrained by current techological limitations, goes like this: If you have to make a call to disk for data, and the amount of time it takes to return that data to your users exceeds the amount of time that users are willing to accept, AND the ONLY WAY to alleviate this issue is to increase your bandwidth to disk because you have ALREADY MAX'D out the technologically available amount of RAM within which the database could reside, then you have "BIG DATA."   I hope this clarifies things. My team deals with this on a daily basis from some rather gigantic companies with rather large amounts of corpuscular data.  By "corpuscular," I mean single, extremely large chunks of data that can not be fragmented across multiple systems and MUST be treated symptomatically.  That is, the data is interrelated, and the users seek to examine it as a whole, and not as discrete entities. I really could go on and on about this....

Page 1 / 2   >   >>
Information Resources
More Blogs from Noreen Seebacher
Everyone is talking about big-data as an HR solution, so why doesn't it seem like we're any closer to solving the people problem?
Even at a trade fair better known for seminars on information technology, big-data was too significant to ignore.
All Analytics readers have serious issues with the data hidden in digital photos.
The system we use to select American courtroom juries is riddled with delays, frustrations, and inefficiencies.
It was actually a little too easy to slip a cellphone past security at a federal courthouse.
Quick Poll
Quick Poll
Information Resources
Radio Show
A2 Conversations
UPCOMING
James M. Connolly
How Machine Learning Takes Handwriting Recognition to New Levels


8/25/2016   REGISTER   0
UPCOMING
James M. Connolly
How Colleges and Tech Are Grooming Analytics Talent


9/7/2016   REGISTER   0
ARCHIVE
AllAnalytics
A Look at Tomorrow's Data Scientist


8/9/2016  LISTEN   82
ARCHIVE
James M. Connolly
Analytics and the Making of a President


7/21/2016  LISTEN   76
ARCHIVE
James M. Connolly
Analytics: Where We've Been, Where We're Going


7/12/2016  LISTEN   48
ARCHIVE
James M. Connolly
How Predictive Analytics Can Take Your Company to the Next Level


6/28/2016  LISTEN   22
ARCHIVE
James M. Connolly
How Analytics Can Transform State Government


5/17/2016  LISTEN   51
ARCHIVE
James M. Connolly
Save Labor Costs With Predictive Analytics


5/10/2016  LISTEN   53
ARCHIVE
James M. Connolly
What the IoT Means to You and Your Insurer


5/6/2016  LISTEN   75
ARCHIVE
James M. Connolly
When It's Time for a Robot's Job Review


4/27/2016  LISTEN   21
ARCHIVE
James M. Connolly
How Advanced Analytics Serve Healthcare


4/12/2016  LISTEN   88
ARCHIVE
James M. Connolly
Life in a World of Big Data, Autonomous Cars and IoT


3/17/2016  LISTEN   34
About Us  |  Contact Us  |  Help  |  Register  |  Twitter  |  Facebook  |  RSS