The document discusses democratizing big data. It argues that big data adoption has been slow due to the difficulty of deploying, managing, and using big data technologies as well as a lack of skilled practitioners. To democratize big data, tools are needed to abstract away complexity, more training and education is required in areas like data science and predictive analytics, and organizations need to develop a more data-driven mindset of experimentation, collaboration, and perseverance. The keys to democratizing big data are providing better tools, education, and shifting to a new way of thinking.

1. DEMOCRATIZING
Jeff Kelly
Big Data Analyst, Wikibon
wikibon.org/bigdata
BIG DATA

2. Big Questions About BIG DATA
ü What is New (and Not So New) about BIG DATA?
ü Why is BIG DATA Important?
ü Why aren’t More Enterprises Practicing BIG DATA?
ü What Will it Take to Spur Adoption and Democratize
BIG DATA ?

3. Massive Data Growth
What is New about Big Data?

4. Desire to Transform Data to Actionable Insight
What is New about Big Data?

5. So What’s the BIG Problem?
BIG DATA
VOLUME
TYPE
SPEED
What is New about Big Data?

6. What is NEW … TECHNOLOGY!
What is New about Big Data?
DATA MANAGEMENT & ANALYTICS TECHNOLOGIES MARCH ON!
TIME EFFICEINT AND COST EFFECTIVE

7. New Approaches to BIG DATA
An open source
framework for
processing, storing and
analyzing massive
amounts of distributed,
multi-structured data.
What is New about Big Data?
HADOOP

8. Next Generation Analytic
Databases use massively
parallel processing,
columnar architectures and
data compression to
analyze not-quite-so-
massive data in close to
real-time.
What is New about Big Data?
MPP DATABASES
New Approaches to BIG DATA

9. Multiple flavors of NoSQL
[Not Only SQL]
Databases emerging to
support specific types of
Multi-Structured Data and
Real-Time Web
Applications.
What is New about Big Data?
New Approaches to BIG DATA
NoSQL

10. Complimentary
NOT Competitive
Right Tool, Right Job
What is New about Big Data?
New Approaches to BIG DATA

11. Enterprises Now Have The
Foundational Technology Needed
to Turn
BIG DATA
Into Actionable, Timely Insights.
The RESULT?
Why is Big Data Important?

12. So Why is BIG DATA Important?
Process and Analyze ALL Your Data
Ask NEW Questions
Ask MORE Questions
Get FASTER Answers
Get CLEARER Insight
MAKE AND EXECUTE BETTER BUSINESS DECISIONS
Why is Big Data Important?

13. BIG DATA is …
THE New, DEFINITIVE Source of
COMPETITIVE ADVANTAGE Across ALL
Industries.*
* Wikibon Big Data Manifesto, 2013
Why is Big Data Important?

14. BIG DATA In Action
Why is Big Data Important?

15. But … BIG DATA Adoption is Slow Because …
1. BIG DATA Technologies Difficult to Deploy, Manage
and Use;
2. Dearth of Skilled BIG DATA Practitioners and Data
Scientists;
3. Enterprises Lack Right Mindset to Exploit BIG DATA.
Why aren’t More Enterprises Practicing Big Data?

16. What Will It Take to …
DEMOCRATIZE
BIG DATA?
How Will We Democratize Big Data?

17. Democratizing BIG DATA
NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
• DEPLOY
• INTEGRATE
• ADMINISTER
• SECURE
• PROCESS
• MANAGE
• ANALYZE
• VISUALIZE
• AUTOMATE
How Will We Democratize Big Data?

18. NEEDED: BIG DATA TRAINING AND EDUCATION
How Will We Democratize Big Data?
• DATA SCIENCE
• PREDICTIVE ANALYTICS
• BIG DATA APPLICATION
DEVELOPMENT
• BIG DATA INFRASTRUCTURE
Democratizing BIG DATA

19. Democratizing BIG DATA
NEEDED: NEW MINDSET
• DATA-DRIVEN
• EXPERIMENTATION
• IMAGINATION
• QUESTION ASSUMPTIONS
• WILLINGNESS TO FAIL
• COLLABORATION
• PERSEVERANCE
• FOLLOW-THROUGH
How Will We Democratize Big Data?

20. Keys to Democratizing BIG DATA
TOOLS
+
EDUCATION
+
NEW MINDSET
How Will We Democratize Big Data?

21. DEMOCRATIZING
BIG DATA
THANK YOU
Jeff Kelly
Big Data Analyst, Wikibon
wikibon.org/bigdata