The document discusses big data, defining it as large data sets that cannot be analyzed with traditional techniques due to their size. It notes that big data comes from a variety of sources like web searches, social media, and scientific databases. The document also outlines some key characteristics of big data, such as volume, velocity, variety and veracity. Additionally, it provides some real-world statistics about the large amounts of data generated daily by organizations like Facebook, Twitter, and Google.

1. BigData
Aisha Siddiqa
aasiddiqa@gmail.com
C4MCCR,
Faculty of Computer Science and Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

2. What is Big Data
• Data is Data, what is “Big” ???
• A Big thing in the field of computing which generates values
from large data sets that cannot be analyzed with traditional
computing techniques
• Storage
• Processing
• Visualization
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

3. What is new
What is new traditional data BIG DATA
Data Type Employee records,
bank records
Web search, data mining, scientific and
medical databases
Data
Accumulation
Staff Users, Machines
Processing Centralized Parallel
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

4. Explosion of Big Data (I)
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

5. Explosion of Big Data (II)
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

6. Features of Big Data
Volume
Velocity
Variety
Veracity
Variability
Value
Complexity
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

7. Real Statistics of Big Data (I)
Facebook:
• Collecting about 600 petabytes
of data per day
• An average user creates 90
pieces of content each month
• More than 500 million active
users
Twitter:
• 9,401 tweets per second
• 1 billion tweets in less than 2
days
• 50 million users from the past
year
0
250
500
750
1000
1250
1500
2008 2009 2010 2011 2012 2013 2014 2015
Facebook Users
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

8. Real Statistics of Big Data (II)
• 49,252 Google searches
per second
• 187 million new users per
month
• 300 hours videos
uploaded per minute
• Over 1 billion users
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

9. Real Statistics of Big Data (V)
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

10. Future of Big Data
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

11. Big Data is for Smart Organizations
• Every single bit is valuable
• Only smart organizations realize to keep and process
Big Data for better decision making, for survival in
competing:
– Customers
– Products
– Services
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

12. Big Data for R&D
• Data is beyond structured, relational databases
• New opportunities for data management in hardware,
storage, networking and computing are needed:
– Virtualization
– Cloud
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

13. Bid Data Management
• Functional Requirements
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.

14. Big Data Architecture
By: Aisha Siddiqa
C4MCCR,
Faculty of Computer Science and
Information Technology,
University of Malaya,
Kuala Lumpur, Malaysia.