presentation is about big data and changing size of this big data

1. Anuj Pandey
12115021

2. WHAT IS BIG
DATA?
... HOW BIG IS
BIG?

3. “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

4. “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.”

5. “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

6. “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

7. “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

8. “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.”

9. “BIG DATA IS THE DATA CHARACTERIZED BY
3 ATTRIBUTES: VOLUME, VARIETY AND
VELOCITY.”
-- IBM

10. “BIG DATA IS THE DATA CHARACTERIZED BY
3 ATTRIBUTES: VOLUME, VARIETY AND
VELOCITY.”

11. “BIG DATA IS THE DATA CHARACTERIZED BY
4 KEY ATTRIBUTES: VOLUME, VARIETY,
VELOCITY AND
VALUE.”
-- Oracle

12. “BIG DATA IS THE DATA CHARACTERIZED BY
4 KEY ATTRIBUTES: VOLUME, VARIETY,
VELOCITY AND
VALUE.”

14. LET’S LOOK AT
BIG DATA
IN A DIFFERENT WAY.

15. WHAT WAS YOUR
FIRST COMPUTER?

17. WHAT WAS ITS
“BIG DATA” LIMIT?

19. LET’S TRY AGAIN…

20. Byte : one grain of rice

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

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

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

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

25. 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
Petabyte

26. 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
Exabyte

27. 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

28. 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

29. 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!
Our 1st Cmptr

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
Yottabyte : A EARTH SIZE RICE BALL!
Hobbyist
Desktop

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!
Hobbyist
Desktop
Internet

32. 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!
Hobbyist
Desktop
Internet
Big Data

33. 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!

34. Big Data sources

35. Big Data sources
Large and growing files
(Big data files)
Mobile Devices
Microphones
Readers/Scanners
Science facilities
Programs/ Software
Social Media
Cameras

36. Activity Data
Almost every activity generate data.
Simple activities like listening to music,
reading a eBook, even our smart phone(how
we use), web browser(what we search) and
credit card company collects data on where
you shop and your shop collects data on what
you buy.

37. Conversation Data
Our conversations are now digitally
recorded. It all started with emails but
nowadays most of our conversations
even that on Facebook n Twitter leave
a digital trail. Even many of our phone
conversations are now digitally
recorded.

38. Photo and Video Image
Data
We upload and share 100s of
thousands of photos n videos on You-
tube and other social media sites every
second. The increasing amounts of
CCTV cameras also take video images
and generate data.

39. Sensor Data
We are increasingly surrounded by
sensors that collect and share data.
Take your smart phone, it contains a
GPS and accelerometer that track
exactly where you are and the speed
and direction at which you are
travelling.

40. The Internet of Things Data
We now have smart TVs, smart watches, smart
fridges, and smart alarms. The Internet of
Things connects these devices so that e.g. the
traffic sensors on the road send data to your
alarm clock which will wake you up earlier than
planned because the blocked road means you
have to leave earlier.

41. Types of tools used in
Big-Data
• Where processing is hosted?
– Distributed Servers / Cloud (e.g. Amazon EC2)
• Where data is stored?
– Distributed Storage (e.g. Amazon S3)
• What is the programming model?
– Distributed Processing (e.g. MapReduce)
• What operations are performed on data?
– Analytic / Semantic Processing

42. Latest technology such as cloud-
Computing and Distributed System
together with latest software and
analysis approaches allows us to
leverage all types of data and gain
insight and add values.
TURNING BIG DATA INTO VALUE

43. Turning Big Data into Value:
The
‘Datafication’ of
our World;
• Activities
• Conversatio
ns
• Words
• Voice
• Social Media
• Browser logs
• Photos
• Videos
• Sensors
• Etc.
Analysing
Big Data:
Text analytics
Sentiment
analysis
Face
recognition
Voice
analytics
Movement
analytics
Etc.
Volume
Velocity
Variety
Veracity
Value

44. Three Characteristics of Big Data V3s
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types

45. 1st Character of Big Data
Volume
•Every minute we send 204 million emails, generate 1.8 million
facebook likes,278 thousand tweets, and upload 200,000
photos to fb.
•90% of data in world was created in past two years.

46. 2nd Character of Big Data
Velocity
• high-frequency stock trading algorithms reflect market
changes within microseconds.
• infrastructure and sensors generate massive log data in
real-time.
• on-line gaming systems support millions of concurrent
users, each producing multiple inputs per second.

47. 3rd Character of Big Data
Variety
• Big Data isn't just numbers, dates, and strings.
Big Data is also 3D data, audio and video, and
unstructured text, including log files and social
media.
• Big Data analysis includes different types of
data.

48. USES OF BIG DATA
(EXAMPLES)

50. Example 1
Better understand and target customers:
To better understand and target customers,
companies expand their traditional data sets
with social media data, browser, text analytics
or sensor data to get a more complete picture
of their customers. Using big data, Telecom
companies can now better predict customer
churn.

51. Example 2
Understand and Optimize Business
Processes:
Big data is also increasingly used to optimize
business processes. Retailers are able to
optimize their stock based on predictive
models generated from social media data, web
search trends and weather forecasts.

52. Example 3
Improving Health:
The computing power of big data analytics enables
us to find new cures and better understand and
predict disease patterns and links between
lifestyles and diseases. Big data analytics also
allow us to monitor and predict epidemics and
disease outbreaks.

53. Example 4
Improving Security and Law Enforcement:
Security services use big data analytics to foil
terrorist plots and detect cyber attacks. Police
forces use big data tools to catch criminals
and even predict criminal activity.

54. But the applications of Big
Data are endless!

55. BECAUSE…

56. THE SIZE
MATTERs!!!

57. THANKS