Nandan Shah's presentation covered key topics related to big data including definitions, important technologies like Hadoop and MapReduce, benefits such as enabling real-time analysis and faster decision making, risks around data security and privacy, and applications across various domains such as banking, retail, and healthcare. The presentation also provided interesting facts about the size of data holdings and growth of the big data industry.

2. SYNDICATE PRESENTATION
BY:
NANDAN SHAH ( 15252 )

3. AGENDA

4.  Entry to the big data world
 Definitions of big data
 Important technologies of big data
 Benefits of big data
 Risks of big data
 Applications of big data in various domains
 Interesting facts about big data
 Quote for conclusion

5. ENTRY TO THE
WORLD OF BIG
DATA

6. What is data
History of Big Data
Pillars of big data
Volume
Variety
Velocity

7. DEFINITIONS OF BIG
DATA

8. Wikipedia: an all-encompassing term
for any collection of data sets so
large and complex that it becomes
difficult to process using on-hand
data management tools or traditional
data processing applications.
McKinsey: datasets whose size is
beyond the ability of typical
database software tools to capture,
store, manage, and analyze

9. IMPORTANT
TECHNOLOGIES
OF BIG DATA

10. Hadoop is a framework that allows
for the distributed processing of
large data sets across clusters of
computers using programming
models.
It consists of the storage part(HDFS)
& the processing part(Map Reduce)

11. MAP REDUCE
 Map-Reduce is a programming
model and an associated
implementation for processing
and generating large data sets
with a parallel, distributed
algorithm on a cluster.
 Master-slave architecture
where we have a job tracker &
task tracker

12. OTHER TECHNOLOGIES

13. BENEFITS OF BIG
DATA

14. Helps in real time analysis of data.
Can store & process any type of data
using technologies like Hadoop &
Map-Reduce.
Provides faster & better decision-
making abilities.

15. RISKS OF BIG DATA

16. Data Security
Data Privacy
Costs
Bad analytics
Bad data

17. APPLICATIONS OF
BIG DATA IN
VARIOUS DOMAINS

18. Banking & Financial Services
Retail
Marketing
Sentiment analysis
Recommendation engines
Telecom
Transportation
Medical

19. Making your cities smarter.
Customizing your website on real
time.
Media domain calculates TRP of
programs using big data.
Genome mapping blended with big
data is the biggest boost to health
care.
Taking recruiters from “I think” to “I
Know”.

20. INTRESTING
FACTS ABOUT BIG
DATA

21.  AT&T is said to be holding the largest volume of data in its database which now contains phone records
database of 312 terabytes in size & approximately 2 trillion rows.
 6 million new jobs would be created in 2015
 Data Science termed as "Sexiest job of the 21st century" by Harvard Business School
 The number of bits stored in digital universe are more than the number of stars in the physical universe.
 Currently US$10.2 billion industry. Expected to reach US$54.3 by 2017
 The data volumes are exploding, more data has been created in the past two years than in the entire previous
history of the human race.
 73% of organizations have already invested or plan to invest in big data by 2016
 At the moment less than 0.5% of all data is ever analysed and used, just imagine the potential here.
 Stacking a pile of CD-ROMs on top of one another until you’d reached the current global storage capacity for
digital information would stretch 80,000 km beyond the moon

22. QUOTE TO
CONCLUDE

23. YOU MAY HAVE DATA
WITHOUT
INFORMATION,
BUT YOU CANNOT
HAVE
INFORMATION
WITHOUT DATA.

24. THANK YOU
QUESTIONS ??