The document discusses the significance of big data in the IT industry, highlighting its volume, velocity, and variety, as well as its ability to solve problems more effectively than traditional computing. It outlines various tools and techniques for analyzing and storing big data, along with applications across different sectors like banking, healthcare, and retail. The piece concludes by emphasizing big data as a competitive advantage for businesses, along with the challenges that must be addressed to harness its potential.

1. NAVEEN ABRAHAM
PRATEEK SABHARWAL
POOJA S KUMAR
RIYA ASEEF
NIKIHL JOHN ABRAHAM

2. BIG DATA
Next Big thing
in the IT world
Google, LinkedIn,
Facebook
Minimize timeCost reduction

3. Similar to ‘small data’ but bigger in size
Solve problems in a better way
Techniques, tools and architecture
Cannot be analyzed with traditional computing
techniques.
Eg: Walmart, Facebook

4. CHARACTERISTICS
VOLUME
Data quantity
VELOCITY
Data speed
VARIETY
Data types

5. Cost Saving
Time reduction
New product development
Understanding market conditions
Control online reputation
BENEFITS OF BIG DATA

6. STORING BIG DATA
Analyzing your data
characteristics
• Selecting data sources
for analysis
• Eliminating redundant
data
• Establishing the role of
NoSQL
Overview of Big
Data storage
• Data models: key value,
graph, document,
column-family
• Hadoop Distributed File
System

7. SELECTING BIG DATA STORES
Choosing the
correct data stores
Moving code to data
Implementing
polyglot data store
solutions
Aligning
business
goals

8. PROCESSING BIG DATA
Integrating disparate
data stores
Mapping data to the
programming framework
Connecting and extracting
data from storage
Transforming data for
processing
Processing
Requirments
Volume
Velocity
Variety
Ambiguity
Complexity
Eg: Hadoop

9. WHY BIG DATA
Growth of Big Data is needed
• Increase of storage capacities
• Increase of processing power
• Availability of data(different data types)
• Every day we create 2.5 quintillion bytes of data; 90% of the data in
the world today has been created in the last two years alone

10. WHY BIG DATA
FB generates 10TB
daily
Twitter generates 7TB
of data
Daily
IBM claims 90% of
today’s stored data
was generated in just
the last two years.

12. Orchestration
Data
Sources
Analytics
and
Reporting
Data Storage
Real- Time Message
Ingestion
Batch
Processing
Stream
Processing
Analytical
Data Store

13. ETL
WHY
Evolve?

14. TOOLS USED IN BIG
DATA ANALYSIS

15. DATA PROCESSING

20. DISTRIBUTED STORAGE

21. Amazon S3

26. Distributed Processing

34. TYPES OF TOOLS USED IN BIG DATA

35. APPLICATION OF BIG DATA
Banking –
University of florida
Media and
Entertainment
Healthcare- Taiwan
tracks corona using
Big data
Education –
University of
Tasmania
Manufacturing and
Natural Resources-
Predictive Model
Government- FDA
Retail and
Wholesale Industry

36. CONCLUSION
Big Data: A new competitive advantage for businesses
Crucial way to
outperform peers
Creation of new
service offerings
and the design of
future products
Create new growth
opportunities and
entirely new
categories of
companies
Various challenges
to overcome

37. THANK
YOU