This document discusses big data and the key factors contributing to its growth. It notes that big data refers to massive volumes of structured and unstructured data that are too large to process using traditional techniques due to their size and speed. The main factors driving big data are identified as volume, as data collection increases from various sources; velocity, as data streams in and needs real-time processing; and variety, as data comes in many structured and unstructured forms. Examples of big data uses that provide benefits are also outlined.

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