Big data comes from various sources and can be used for unique analytics and more precise predictions if analyzed properly. There are security and privacy concerns that must be addressed when working with big data, including layers of security, consumer opt-in, granular access controls, and preventing illegal access. Effective use of big data requires evaluating the data, having a clear hypothesis, using tested methodologies, having confidence in results, and asking the right questions. It is important to consider what the data does not say as well.

1. What do we do
with all this

3. Why do we need
Big Data?

4. Big data is not just
about handling
text,visual, or verbal
communication data!

5. Various categories
of data for unique
analytics and much
more precise
prediction.
We lookup at certain categories
of data!

11. There are certain layers of security
needed in concern with Big Data to
avoid breeches.

12. Privacy Control
ConsumerOpt­In
Granular access control
Non­relational Databases
Illegal access

13. Must Be’s for using Big Data
Evaluating data
Clear on hypothesis
Tested methodoloagies
Confidence in result
Asking right questions.

14. Don’t just look for
what data tells us,
But look at what data
doesn’t tell us.

15. -Vaibhav Srivastav
B.I.E.T. Jhansi