BIG DATA

2. CONTENTS
 INTRODUCTION
 WHAT IS BIG DATA
 DEFINING BIG DATA
 BENEFITS OF BIG DATA
 NEW OPPORTUNITES
 BIG DATA SKILL
 APPLICATIONS
 CHARACTERISTICS OF BIG DATA
 ADVANTAGES
 DISADVANTAGES
 CONCLUSION

3. INTRODUCTION
 Big data technologies describe a new generation
technologies.

4. WHAT IS BIG DATA
 Big data is a term that describes the large volume of
both structural unstructured.

5. DEFINING BIG DATA
 Most definitions of big data focus on the size of data
in storage.

6. BENEFITS OF BIG DATA
 We just saw that
user organizations
have adopted big
data analytics in
appreciable numbers.
Determine the potential
benefits that are driving the adoption.

7. NEW OPPORTUNITES
 To some users, it’s the analytic tool where they create
analytic models or fashion complex queries. To
others, it’s the database management system where
analytic big data is managed and operated on. It could
be both.

9. BIG DATA SKILL
 And its skill set is not quite the same as that business
intelligence and data warehousing, for which most
organizations have developed their skills.
 A lack of business support can hinder a big data
analytics program.

10. APPLICATIONS
Homeland Security
FinanceSmarter Healthcare
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
Multi channel

11. CHARACTERISTICS OF
BIG DATA

12. ADVANTAGES
 Flexible schema
 Quicker/cheaper to set up
 Massive scalability
 Evantual consistency –higher perfomance &
availability.

13. DISADVANTAGES
No declarative query language –more
programming
Evantual consistency-fewer guarantees.

14. CONCLUSION
The availability of the Big Data, low-cost
commodity in the hardware, and new
information management and analytic
software.