what is Big Data

1. What is Big Data?

2. why is there
such buzz around
BIG DATA?

3. Isn’t Big Data
just big hype?

4. ... How big is BIG?

5. What is it that we are
really talking about?

6. “Big Data is the frontier of a firm's ability to
store, process, and access (SPA) all the data
it needs to operate effectively, make
decisions, reduce risks, and serve
customers.”
-- Forrester

7. “Big Data is the frontier of a firm's ability to
store, process, and access (SPA) all the data
it needs to operate effectively, make
decisions, reduce risks, and serve
customers.”
-- Forrester
Boring!

8. “Big Data in general is defined as high
volume, velocity and variety information
assets that demand cost-effective, innovative
forms of information processing for enhanced
insight and decision making.”
-- Gartner

9. “Big Data in general is defined as high
volume, velocity and variety information
assets that demand cost-effective, innovative
forms of information processing for enhanced
insight and decision making.”
-- Gartner
Snore

10. “Big data is data that exceeds the processing
capacity of conventional database systems.
The data is too big, moves too fast, or doesn't
fit the strictures of your database
architectures. To gain value from this data,
you must choose an alternative way to
process it.” -- O’Reilly

11. “Big data is data that exceeds the processing
capacity of conventional database systems.
The data is too big, moves too fast, or doesn't
fit the strictures of your database
architectures. To gain value from this data,
you must choose an alternative way to
process it.” -- O’Reilly
Too many
words

12. “Big data is the data characterized by 3
attributes: volume, variety and velocity.”
-- IBM

13. “Big data is the data characterized by 3
attributes: volume, variety and velocity.”
-- IBM
Random
words

14. “Big data is the data characterized by 4 key
attributes: volume, variety, velocity and
value.”
-- Oracle

15. “Big data is the data characterized by 4 key
attributes: volume, variety, velocity and
value.”
-- Oracle
Buzzwords

17. Let’s look at
Big Data
in a different way.

18. What was your
first computer?

20. What was its
“Big Data” limit?

22. Let’s try again…

23. Byte
Byte : one grain of rice

24. Kilobyte
Byte : one grain of rice
Kilobyte : cup of rice

25. Megabyte
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice

26. Gigabyte
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks

27. Terabyte
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships

28. Petabyte
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan

29. One ByteExabyte
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states

30. Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean Zettabyte

31. Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!
Yottabyte

32. HobbyistByte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

33. Desktop
HobbyistByte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

34. Desktop
Hobbyist
Internet
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

35. Desktop
Hobbyist
Internet
Big Data
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

36. Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

37. Desktop
Hobbyist
The Future?
Internet
Big Data
Byte : one grain of rice
Kilobyte : cup of rice
Megabyte : 8 bags of rice
Gigabyte : 3 Semi trucks
Terabyte : 2 Container Ships
Petabyte : Blankets Manhattan
Exabyte : Blankets west coast states
Zettabyte : Fills the Pacific Ocean
Yottabyte : A EARTH SIZE RICE BALL!

38. Big Data is not about the size of the data,
it’s about the value within the data.

39. So, what is
value?

40. Market Intelligence?
Business Intelligence?
Secret Intelligence?

41. Our society is leaving
behind a digital footprint.

42. People are living online and we all are
expressing our attitudes, likes and dislikes,
our opinions and perspectives.

43. We are generating huge
amounts of data.

44. Data with a
lot of information.

45. … and a lot of noise.

46. The ability to hear the signal
from the noise is the key…

47. to unlocking the human conversation
that is taking place around us.

48. Listening to this
conversation
can lead us to…

49. Unexpected Discoveries

50. Case Study

53. “House of Cards” is one of the first major test cases of this
Big Data-driven creative strategy. For almost a year, Netflix
executives have told us that their detailed knowledge of
Netflix subscriber viewing preferences clinched their
decision to license a remake of the popular and critically well
regarded 1990 BBC miniseries. Netflix’s data indicated that
the same subscribers who loved the original BBC production
also gobbled down movies starring Kevin Spacey or directed
by David Fincher. Therefore, concluded Netflix executives, a
remake of the BBC drama with Spacey and Fincher
attached was a no-brainer, to the point that the company
committed $100 million for two 13-episode seasons.

54. Did it work?

56. How do you
mine (and mind)
all this data?

57. Most people don’t know
what to do with all the data
that they already have…

58. Get Big
by starting
small

59. Focus on
Business Impact.

60. Big Data isn’t big,
if you know how to
use it.

61. SMART
DATA

62. credits - (creative commons)
http://www.slideshare.net/dwellman/what-is-big-data-24401517
http://creativecommons.org/licenses/by-sa/4.0/