Introduction of Big Data.

2. Faculty Name:Namrata
Sharma/Arjun S. Parihar
Year/Branch:3rd/CSE
Subject Code:CS-503(A)
Subject Name:Data Analytics

3. Introduction to Big Data

4. Learning Objectives
• In this session you will learn about:
The term “Big Data”
Characteristics of Big Data
Sources of Big Data
The impact of Big Data
Application Area’s
Types of Big Data

5.  Is it a product?
 Is it a set of tools?
 Do only big businesses have Big Data?
 What font size is Big Data?
BIG DATA

6. Big Data Every Where!
 Lots of data is being collected
and warehoused
• Web data, e-commerce
• Purchases at department/
grocery stores
• Bank/Credit Card
transactions
• Social Media
BIG DATA

7. Let’s have a look data generated per min on internet

9. DATA

10. What is data?
All the facts and figure which can be store in
digital format can be term as “data”.
All the text, numbers, images, audios, videos,
store and found in computer are some example
of data. They are digitally stored and comprised
of 0’s and 1’s.

11. Evolution of Technology

12. Definition of Big Data
Big Data as the digital trace that we are
generating in this digital era. This digital trace is
made up of all the data that is captured when we
use digital technology.
-By Bernard Marr

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

15. What was your first computer?
8 bit home computer
”Commodore 64”
What was its “Big Data” limit?
64 KB=65,536 bytes

16. Let’s try again…

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

18. So, what is
value?

19. Market Intelligence?
Business Intelligence?
Secret Intelligence?

20. Application Area’s

21. Applications

22. Focus on
Business Impact.

23. Big Data
Personalized Marketing
Data
Happy customer
What Makes Big Data Valuable?

24. Health care

25. Smart city

26. Meter at
home
Smart Meter
Data
collected for 1
month
Data collected in
15 min.
Before
After
After data analysis on collected data they find out
`During peak hours electricity consumption is higher than
the other time.
Big data is generated.ibm collect 96 millions reading per
day from million of meter.
Case study collected by IBM on electricity
consumption

27. Mobile advertising

28. Types Of Big Data
Big Data could be found in three forms:
Structured
Unstructured
Semi-structured

30. Thank You