Evolution of Big Data

3. • massive volume structured and unstructured data
• that is so large it is difficult to process using traditional database and
software techniques
the volume of data is too big or
it moves too fast or
it exceeds current processing capacity
Google
IBM
Oracle
etc

4. Evolution of Data
• 1960

5. Evolution of Data
• 1970

6. Evolution of Data
• 1980

7. Evolution of Data
• 1990

8. Evolution of Data

9. • Big Data allow us to store more information then ever before.

10. • Collect Information
• More Information (related)
• Allow us to do more things
• Stop Theft
• Future Predictions
• Intelligent Decisions
• Easier Searching
• Easier Sharing
• Easier Processing
• Faster Services
• Reusability information once data collected

13. Factors contribute to Big Data
• Volume – Increase in Data Volume
• Transaction based data
• Unstructured Data Streaming from Social Media
• Increasing amount of Sensors (Touch and Go, SmartTAG)
• Machine to Machine data collection and sharing
Excessive data volume > Storage issue
Decreasing storage cost > Create value from collected data
•

14. Factors contribute to Big Data
• Velocity – Data streaming dealt within timely manner
• RFID tags, sensors, smart metering to help data processing
in near real time

15. Factors contribute to Big Data
• Variety
Structured
 Numeric data
 Currency data
 Alphabetic
 Name
 Address
 Date
 Unstructured
 Text
 Documents
 Email
 Video
 Audio
Managing, Merging, Governing different varieties of
data

16. Case Study
• Facebook Survey

17. Case Study