1. Introduction to BIG DATA
By
Jagadeesh raju B.
Indus Business Academy.
Bangalore. 9916060019

2. WHAT IS DBMS
• It stands for Database Management System.
• Contains all the information about the
enterprise.
• Collection of interrelated data.
• It is centralized database management.
• Persistent storage management.
• Transaction management.

3. Loopholes in DBMS
• Difficult to handle huge data.
• Supports only structured form of data.
• Always stores data in table format.
• High level query and data manipulation
language.
• Interaction with the other levels are difficult.

4. WHAT IS BIG DATA
• As the name itself it is a huge data(T.B-P.B).
• Data sets are too large and complex.
• Very complex to manipulate or interrogate.
• Standard methods and tools are not enough.
• Big data spans three dimensions.
• Volume, velocity, variety.

5. How it is creating.
• At every end of 59th second the following data
is generating.

6. Why big data should matter?
• Determine root causes for failures.
• Determine issues and defects in real time.
• Potentially saving billions of dollars annually.
• To analyze millions of SKUs to determine price.
• Recalculate entire risk in minutes.
• Quickly identify the customer who matters
most.

7. Application for Big data
• Smarter health care.
• Multi channel sales.
• Social media.
• Telecom.
• Log analysis.
• Trading analysis.
• Manufacturing.

8. Big players in Big data
• Google.
• Facebook.
• Flipkart.
• Acenture.
• Infosys.
• Cognizant.
• Mu sigma.