10 Powerful Facts About Big Data - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

CIO Insights & Innovation
Security & Risk Strategy
Team Building & Staffing
IT Strategy
Digital Business
Project Management
Programming Languages
Dr. Dobb's
Enterprise Applications
Operating Systems
Productivity/Collaboration Apps
Network Security
Careers & People
Threat Intelligence
IoT
Attacks & Breaches
Application Security
Cloud Security
Endpoint Security
Mobile Security
Perimeter Security
Risk Management
Operations Security
Analytics
Vulnerabilities & Threats
Security & Risk Strategy
Infrastructure as a Service
Platform as a Service
Software as a Service
Cloud Storage
Data Centers
Mobile Applications
Mobile Devices
Mobile Business
Enterprise Mobility Management
AI/Machine Learning
Big Data Analytics
Hardware/Architectures
Software Platforms
IoT
Networking
Wireless Infrastructure
Data Centers
Cloud Infrastructure
Careers and Certifications
Network Security
Government
Healthcare
Wall Street & Technology
Bank Systems & Technology
Insurance & Technology
Industries
Government
Healthcare
Wall Street & Technology
Bank Systems & Technology
Insurance & Technology
IT Life
Careers
Mobile
Mobile Applications
Mobile Devices
Mobile Business
Enterprise Mobility Management
Software
Enterprise Applications
Operating Systems
Productivity/Collaboration Apps
Data Management // Big Data Analytics
News
6/10/2014
07:06 AM
Jeff Bertolucci
Jeff Bertolucci
Slideshows
Connect Directly
Google+
RSS
E-Mail
17 comments
Comment Now

10 Powerful Facts About Big Data

Big data means many things to many people, but how broad is its impact? Consider these figures on big data and the gurus who splice it.
4 of 11

How big will big data get? The digital universe will grow from 3.2 zettabytes today to 40 zettabytes in only six years. (One zettabyte is roughly a billion terabytes.) 'When we look at the data volumes coming at us, it's mind-blowing,' said Hortonworks CEO Rob Bearden in his keynote address at Hadoop Summit 2014 in San Jose, Calif. 'The data volume in the enterprise is going to grow 50x year-over-year between now and 2020. I think the most important thing to recognize is that 85% of that data is coming from net-new data sources.' And these sources, including mobile, social media, and web- and machine-generated data, present both a challenge and an opportunity for enterprises globally, Bearden noted. (Source: Hadoop Summit 2014)

How big will big data get?
The digital universe will grow from 3.2 zettabytes today to 40 zettabytes in only six years. (One zettabyte is roughly a billion terabytes.) "When we look at the data volumes coming at us, it's mind-blowing," said Hortonworks CEO Rob Bearden in his keynote address at Hadoop Summit 2014 in San Jose, Calif. "The data volume in the enterprise is going to grow 50x year-over-year between now and 2020. I think the most important thing to recognize is that 85% of that data is coming from net-new data sources." And these sources, including mobile, social media, and web- and machine-generated data, present both a challenge and an opportunity for enterprises globally, Bearden noted.

(Source: Hadoop Summit 2014)

4 of 11
Comment  | 
Print  | 
Comments
Newest First  |  Oldest First  |  Threaded View
<<   <   Page 2 / 2
KeerthanaA969
50%
50%
KeerthanaA969,
 User Rank: Apprentice
6/11/2014 | 12:51:01 AM
Big data - Enter with a torchlight or no?
Currently, most of the big data analytics in industries, other than web/social media, follow a 'jump into the data deluge' model without much thought about the right questions that have to be asked. Sometimes, this may work, say, while unearthing unseen patterns but most of the times, it may not. That's why there has to be a balance between the questions and exploratory analysis for actual results to be seen. Just adding another fact!
David F. Carr
100%
0%
David F. Carr,
 User Rank: Author
6/10/2014 | 7:17:27 PM
When does big data = big confusion?
Isn't big data less useful if it's too big, too random? The analytics technologies are powerful, but wouldn't they be even more powerful in combination with a strategy for selecting and organizing the data we collect? Instead of letting the tech make the data collection process sloppy.
HM
50%
50%
HM,
 User Rank: Moderator
6/10/2014 | 2:54:39 PM
Big Data Solution
Jeff, very nice article on Big Data. When considering a big data strategy, I think it's worth mentioning HPCC Systems from LexisNexis. Designed by data scientists, HPCC Systems is an open source data-intensive supercomputing platform to process and solve Big Data analytical problems and can help companies derive actionable insights from their data.

HPCC Systems provides proven solutions to handle what are now called Big Data problems, and have been doing so for more than a decade. The main advantages over other alternatives are the real-time delivery of data queries and the extremely powerful ECL language programming model. More info at http://hpccsystems.com
zag77
50%
50%
zag77,
 User Rank: Apprentice
6/10/2014 | 11:57:36 AM
Big data and IoT - A connection made in heaven
Big Data will become more big because of the Internet of things. More powerful anlaytical tools are required. It's not the demise of data warehouse, they can go about churning the internal numbers that they always do. However the data which is hidden in big data will be the one that will make a difference. The internet of things is simple if you look at them individually. But the avalanche of data should be collected and taken action upon. Stream computing will become the need of the day. But this is only possible on powerful hardware. Otherwise, there can be delays in the response times. Each Big Data application would be different and anlaytical tools would spring up for every vertical. Data Centers are going to become more and more important as they have to contain this data flow.  
Shane M. O'Neill
50%
50%
Shane M. O'Neill,
 User Rank: Author
6/10/2014 | 11:41:58 AM
Re: IoT data
Bit if a mystery to me why IT pros are investing in the software and application side of the Internet of things, but blowing off purchasing the hardware: sensors, video equipment, projectors, and other peripherals. 
Laurianne
50%
50%
Laurianne,
 User Rank: Author
6/10/2014 | 10:47:40 AM
IoT data
More than half of IT pros not preparing for onslaught of data from IoT sensors. Does this surprise you, or not? Companies in the energy sector are preparing now. This % must vary wildly by industry, of course.
Solink Contextual Analytics
50%
50%
Solink Contextual Analytics,
 User Rank: Apprentice
6/10/2014 | 9:28:00 AM
Video is the biggest "big data"
Every day, the world records over 413 Petabytes of video data (that's the equivalent of 92 million CD-ROMS!) If you're still not a believer that video is the biggest "big data" check out our blog post where we compare it to data generated from Youtube, Walmart, and Google http://solinkcorp.com/4-comparisons-prove-video-biggest-big-data/
<<   <   Page 2 / 2
Editors' Choice
Commentary
Gartner Forecast Sees 7.3% Shrinkage in IT Spending for 2020
Joao-Pierre S. Ruth, Senior Writer,  7/15/2020
Slideshows
10 Ways AI Is Transforming Enterprise Software
Cynthia Harvey, Freelance Journalist, InformationWeek,  7/13/2020
Commentary
IT Career Paths You May Not Have Considered
Lisa Morgan, Freelance Writer,  6/30/2020
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Key to Cloud Success: The Right Management
This IT Trend highlights some of the steps IT teams can take to keep their cloud environments running in a safe, efficient manner.
Download This Issue!
Slideshows
Flash Poll