1. Big Data Analysis / Analytics
Balasubramanian V
Developer
University Informatics Centre
Bharathidasan University

2. What’s this? The phenomenon came about in recent years
Due to the sheer amount of machine data being generated today
Leaving a digital trace!
Computerizing!

3. Why we need to know about Bigdata?
We are generating lot of data
Science, Technology, Internet….
Social Networks – Status, Comment, Tweet
Bank Transactions, Debit/Credit Cards
Mobile Phones, Smart Phones
Customer Data, Bills, Invoices
Medical Case History…

4. Digital Traces
Smartphones and tablets outsold desktop and laptop computers. There are more Smartphones in the U.S. in 2020 than people!
The phone in your pocket has more programmable memory, more storage and more capability than several large IBM computers and better than some supercomputers of 1980’s.

5. Data… Data – Past, Present, Future
Analysis - Why did something happen?  Analytics - What is likely to happen?
Yesterday’s data is smaller than today’s data and Today’s data is going to be smaller than tomorrow’s data
In 2005, Two Crore Rows in a Database is considered to be big data. Now…

6. Exponential Growth of Data

7. Chessboard

8. Data Growth => KB MB GB TB PB EB ZB YB
1==> ==> ==> ==> 15
… ==> ==> ==> ==> ==> ==> ==> ==> ==>

9. From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days…and the pace is accelerating.
Eric Schmidt,
Executive Chairman, Google
© 2014 Advanced Performance Institute, BWMC Ltd. All rights reserved.

10. Data… KB,MB,GB,TB,PB,EB,ZB,YB
Leaving Traces
Google knows me more than anyone!
Case Study: Hospitals / Pharmacy Vs. Restaurants
Megamart, Femina, Wallmart, Spencer – Loyalty Cards
Flipkart
Market Basket Analysis
CIBIL – Credit Information Bureau India Ltd.
Smartphone – location services and apps.

11. Who is collecting what? Credit Card Companies
What data are they getting?
Airline ticket
Restaurant check
Grocery Bill
Hotel Bill

12. The ‘Datafication’ of our World;
Turning Big Data into Value: The datafication of our world gives us unprecedented amounts of data in terms of Volume, Velocity, Variety and Veracity. The latest technology such as cloud computing and distributed systems together with the latest software and analysis approaches allow us to leverage all types of data to add value.
Value
Volume
Analysis
The ‘Datafication’ of our World;
Activities
Conversations
Words
Voice
Social Media
Browser logs
Photos
Videos
Sensors
Etc.
Analysing
Big Data:
Text analytics
Sentiment analysis
Face recognition
Voice analytics
Movement analytics
Etc.
Velocity
Variety
Veracity
© 2014 Advanced Performance Institute, BWMC Ltd. All rights reserved.

13. Generating Data Facebook – Recommendations – Social Graph
Amazon – Recommendations
Movie Reviews –
JABONG, ZOVI…
25PB Data everyday in Facebook and Twitter

14. Giving Free Information
Getting benefits
Discounts are for the Data

15. Not All Data is called ‘Big Data’
Value of the Data
Credit Card Usage – Sudden Change in behavior
Income Tax Department Tracking our transactions (AADHAR)

16. Pros and Cons Business Insight Smartness Privacy ? USA’s – NSA
London Riots
Like, Share, Tweet, Comment,…
Using Cell Phone from 15 Years to 25 Years – Job – Appointments – Visa Denial

17. How Can You Avoid Big Data?
Pay cash for everything!
Never go online!
Don’t use a telephone!
Never leave your house!

18. Thanx!