The document reviews a webinar by EMA and 9sight consulting, focusing on the operationalization of big data in 2013. It highlights trends such as a shift from hype to real implementation, the growing number of big data projects, and increasing prominence of machine-generated data. Key topics include project economics, workload management, and the evolving hybrid data ecosystem.

1. Operationalizing the Buzz:
Big Data 2013
A Review of EMA / 9sight Research
Shawn P. Rogers
VP of Research
EMA
John Myers
Senior Analyst
EMA
Dr. Barry Devlin
Founder & Principal
9sight Consulting
© 2013 Enterprise Management Associates, Inc. & 9sight Consulting

2. Today’s Presenters
2 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting
Shawn Rogers, VP of Research, EMA
Shawn has more than 19 years of hands-on IT experience, with a focus on Internet-
enabled technology. In 2004 he co-founded the BeyeNETWORK and held the position of
Executive VP and Editorial Director. Shawn guided the company's international growth
strategy and helped the BeyeNETWORK grow to 18 Web sites around the world, making
it the largest and most read community covering the business intelligence, data
warehousing, performance management and data integration space.
John Myers, Senior Analyst, EMA
John has over 10 years of experience working in areas related to business analytics in
professional services consulting and product development roles. Additionally, John helps
organizations solve their business analytics problems, whether they relate to operational
platforms – such as customer care or billing – or applied analytical applications – such as
revenue assurance or fraud management.
Dr. Barry Devlin, Founder & Principal, 9sight Consulting
Barry has 30 years of experience in the IT industry, previously with IBM, as an architect,
consultant, manager and software evangelist. He is a founder of the data warehousing
industry and among the foremost authorities worldwide on business intelligence. He is a
widely respected consultant, lecturer and author of “Data Warehouse--from Architecture
to Implementation.”

3. Logistics for Today’s Webinar
3
• An archived version of the event
recording will be available at
www.enterprisemanagement.com
• Log questions in the Q&A panel
located on the lower right corner of
your screen
• Questions will be addressed during the
Q&A session of the event
Questions
Event recording
© 2013 Enterprise Management Associates, Inc. & 9sight Consulting

4. Research Sponsors
4 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

5. Agenda
• Research Highlights
• Respondents
• Projects
• Big Data Requirements
• Speed of Response
• Load
• Economics
• Complex Workload
• Structure
• Hybrid Data Ecosystem
• Question and Answer
5 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

6. Research Methodology
• Highly Qualified
• Trends year over year
• Global in Coverage
• Balanced – Business and IT
• Real World Project Insights
• Almost 600 active Big Data projects
• Sponsors, workloads and more
6 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

7. 2013 Research Highlights
7 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

8. Key messages
• Clear move from market hype to real implementation
• Maturing of solutions
• More projects in production
• Machine-generated data shows significant growth
8 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

9. Two thirds of respondents have more than one
Big Data project.
9 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

10. In operation grows from 36% to 53%
10 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

11. The REAL Big Data Logical Architecture
• REAL = Realistic, Extensible,
Actionable, Labile
• Three interconnected pillars
of information
• Messages, events, measures and
transactions from real world
• Metadata = context-setting information
• Adaptive information processing
• Instantiation, assimilation and
reification – ETL, ELT, Virtualization
• See “Business unIntelligence – Insight and
Innovation Beyond Analytics and Big Data”
http://bit.ly/BunI-Technics
EventsMeasures Messages
Transactions
Reification
Utilization
Instantiation
Human-
sourced
(information)
Machine-
generated
(data)
Process-
mediated
(data)
Context-setting (information)
Assimilation
Transactional
(data)
11 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

12. Machine-generated data jumps 14%
12 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

13. Survey Respondents
13 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

14. Respondent Perception of Corporate Innovation
14 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

15. Innovators around the World
Slide 15 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

16. Big Data Projects
16 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

17. Project Sponsors
17 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

18. Business Users Take the Lead
18 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

19. Drivers of Big Data
19 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

20. 20 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

21. Importance of Data in Business
21 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

22. Technical Motivators
22 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

23. 23 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

24. Big Data Size for 2013
5.5-100TB
1.1TB-2PB
30%
indicated 11-20%
of overall data
management was
allotted to Big Data
initiatives
Most Common Response
Majority Response
24 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

25. Big Data Management Size for 2014
6-120TB
1.2TB-2.8PB
Most Common Response
Majority Response
31%
of Respondents
indicated 11-20%
growth for 2014
25 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

26. 26 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

27. Big Data Budgets for 2013
$550k-$5m
$10k-$20m
Most Common Response
Majority Response
40%
of Respondents
indicated 11-20% of
overall IT Budgets
were assigned to
Big Data
27 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

28. Who’s paying?
$88k-$1.25m
49%
of Respondents
indicated non IT
sources of Big Data
Budget funding
28 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

29. 29 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

30. Big Data Platforms have Multiple Uses
30 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

31. Increasing Workloads
31 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

32. 32 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

33. Expanding Beyond the Wall:
Rome
33 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

34. Expanding Beyond the Wall:
When and Where to Apply Schemas
34 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

35. Hybrid Data Ecosystem
35 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

36. Hybrid Data Ecosystem 2012:
Creating a New Nucleus
36 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

37. Hybrid Data Ecosystem 2013:
Distribution of Platforms
One Platform,
28.2%
Two Platforms,
32.1%
Three Platforms,
27.8%
Four Platforms,
4.3%
Five Platforms,
3.5%
Six Platforms,
1.5%
Seven Platforms,
0.4%
Eight Platforms,
2.3%
Sample Size = 259
37 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

38. Hybrid Data Ecosystem 2013:
From Requirements to Consumers

39. Question and Answer
39 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

40. Question and Answer:
Please Log Questions in the Q&A Panel
Get the Big Data Operationalizing the
Buzz Research Report at
https://www.enterprisemanagement.
com/research
Available October 21, 2013!
40 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting