5. Volume The amount of Data is big
Variety Different Kinds of data:
Structured
Semi-Structured
Unstructured
Velocity Speed-issues to consider:
How fast is the data available for analysis?
How fast can we do something with it?
Other V’s : Veracity, Variability, Validity, Value, . . .
5
6. 6
How is the Process of
storing the data ??
before Big Data …
today’s …
Massively Parallel Processing
15. 15
•Will be so overwhelmed
•Costs escalate too fast
•Many sources of big data is :
•privacy
•self-regulation
•Legal regulation
16. 16
More accurate data
Improved business decisions
Improved marketing strategy and targeting
Increased revenue due to increased customer
decreased costs
17. 17
$15 billion on software firms only
specializing in data management and
analytics.
This industry on its own is worth more
than $100 billion and growing at almost
10% a year which is roughly twice as fast
as the software business as a whole.
18. 18
In February 2012, the open source analyst
firm Wikibon released the first market
forecast for Big Data , listing $5.1B revenue in
2012 with growth to $53.4B in 2017
The McKinsey Global Institute estimates
that data volume is growing 40% per
year, and will grow 44x between 2009
and 2020.
19. 19
Refrences:
[1] senthil sundaresan , BIG DATA ,What, Why,
Where, When and How,
BI/SQL/Data Visualization Evangelist
[2] Koutroumpis, P., & Leiponen, A. 2013.
Understanding the value of (big) data. In
Proceedings of 2013 IEEE international
conference on big data. 38–42. Silicon
Valley, CA, October 6–9, 2013. Los Alamitos,
CA: IEEE Computer Society Press
[3] Gerry George, Martine Haas, Alex “Sandy”
Pentland, FROM THE EDITORS
BIG DATA AND MANAGEMENT, Academy of
Management Journal ,2014, Vol. 57, No. 2,
321–326.
[4] www.Slideshare.com
[5] www.wikipedia.com