The document discusses the significance of big data analytics, highlighting that 2.5 quintillion bytes of data are generated daily and the challenges associated with managing such vast datasets. It outlines the three V's of big data—volume, variety, and velocity—and emphasizes its role in enhancing business insights and efficiencies. Additionally, it mentions market growth projections, best practices, benefits, and technologies related to big data implementation.

1. PRESENTER:
ANURAJ ANAND
“BIG DATA ANALYTICS”

2. STATISTICS AROUND WORLD FOR
GROWING DATA #TRENDS

3. By: Anuraj Anand

7. SOME MORE FACTS ON DATA AROUND.
 IBM estimates that every day 2.5 quintillion bytes
of data are created.
 The Online users create content like
blog,posts,tweets,social networking site interactions
and photos.
 Servers continuously log messages about online
users are doing.

8. Cloud
Computing

9. BIG DATA WHAT IS IT??
 It’s a concept which means a datasets which
continues to grow so much that it becomes difficult
to manage it using database management concepts
and tools.
 This difficulty can be related to data
capture, storage, search, sharing ,analytics and
virtualization etc.

12. HOW DOES IT WORKS??

13. THREE VS OF “BIG DATA”.....
3 Vs of
Big
data
Volume
VarietyVelocity

14. DETAIL ON 3 VS..

15. WHY BIG DATA??
 Big Data can help to gain insights and make better
decisions.
 To Create unprecedented business advantage and
better service delivery.
 Digital universe is 1.8 trillion gigabytes in size and
stored in 500 quadrillion files.

16. CHARACTERISTICS OF BIG DATA
 Comprehensive  Should offer a bigger
platform/address 3Vs
 Enterprise Ready should include the performance
, security , usability and reliability.
 Integrated Should integrate data warehouses and
business intelligence applications.
 Open source based
 Low latency reads and updates.
 Robust /fault tolerant /Minimal maintenance

17. BIG DATA OFFERINGS
 Vendors Offering Big Data analytics solutions
like......
 IBM  InfoSphere BigInsights
 Oracle Big Data Platform
 Kognitio WX2 Analytics Platform
 ParAccel  Analytics fuction
 SAND Analytics Platform

18. IBM BIG DATA PLATFORM

19. ORACLE’S BIG DATA SOLUTION:

20. ADOPTION TRENDS
 IDC(International Data Corporation) forecast shows
that Big Data technology and services market is
expected to grow up to $16.9 billion in 2015. It
represents a compound annual growth rate (CAGR)
of 40% or about 7 times that 0f the overall
information and communication technology.

22. BIG DATA BEST PRACTICE
 Build understanding Of Big Data and Offerings may
be self study or involve an expert.
 Plan Optimal Security
 Risk Management
 POC(proof of Concepts)

23. CUSTOMER SUCCESS STORY
 Vestas Wind Systems
 EI Corte Ingles(ECI)
 TRA
 MERKLE
 SYPHERLINK

24. BENEFITS OF BIG DATA
 Will bring more revenue to any firm which needs
data assistance.
 Will save more using Big Data
 Keep insights , tracks and let the firm grow.

25. BIG DATA DEPLOYMENT IN:

27. TECHNIQUES
 A/B testing
 Classification
 Cluster Analysis
 Data fusion
 Data integration
 Data mining

28. TECHNOLOGIES
 Cloud computing.
 Business intelligence
 Data mart.
 Data warehouse
 Distributed system
 Google File System.
 Hadoop.
 HBase.
 Metadata
 Relational database

29. CHALLENGES
 Data Variety
 Data Volume
 Analytical Workload Complexity
 Agility

30. CONCLUSION
 There’s is ample need for company’s to maintain
Data where it is exploding like anything.
 It will transform all business into a well organized
company.
This is a Future tool for DATA Handling and
Maintenance .