Presentation from Todd Papaioannou, Continuuity #dataconf More at http://event.gigaom.com/structuredata/

1. REALIZING REAL-TIME VALUE ON THE
REAL-TIME WEB
SPEAKER: Todd Papaioannou
Founder and CEO
Continuuity
Friday, July 27, 2012

2. THE REAL-TIME WEB
AND BIG DATA
Todd
Flickr : NASA Goddard Photo and
Video Papaioannou
Founder & CEO, Continuuity
@drluckyspin
Friday, July 27, 2012

3. BIG DATA
IS HERE
Friday, July 27, 2012

4. HOW BIG?
Gartner predicts that data will grow by 800%
in five years
Friday, July 27, 2012

5. HOW BIG?
Gartner predicts that data will grow by 800%
in five years
And, 80% of it will be unstructured!
Friday, July 27, 2012

6. YAWN!
Flickr :
TWOB
Friday, July 27, 2012

7. More interesting..
And what we are doing
with it
WHERE IS
IT COMING
Friday, July 27, 2012

8. DIGITAL
EXHAUST
Flickr :
noodlepie
Friday, July 27, 2012

9. Ins igh
t1
CONSUMER INTELLIGENCE
• Consumer Intelligence is the first archetypal
BigData application pattern
• Characterized by delivering personalized
experiences for Consumers
• E.g.
• Content targeting and optimization
• Advertising optimization
Friday, July 27, 2012

10. PERSONALIZATION
IN ACTION
Friday, July 27, 2012

11. PERSONALIZATION
IN ACTION
Friday, July 27, 2012

12. ENTER REAL-
TIME
Friday, July 27, 2012

13. Ins igh
REAL-TIME
t2
• The real-time web is the next wave of web
applications
• It delivers more compelling and relevant user
experiences
• It is driving change in how we think about
application architectures
• It is generating a huge amount of data
Friday, July 27, 2012

14. BUT WHO CARES
IF YOU CAN’T ACT
Flickr :
IN REAL-TIME?
Friday, July 27, 2012

15. REAL-TIME
BIG DATA
Friday, July 27, 2012

16. Ins igh
t3
HADOOP IS NOT
REAL-TIME
Flickr :
publicenergy
Friday, July 27, 2012

17. DATA FABRIC
Friday, July 27, 2012

18. DATA FABRIC
Past:
Scale the data
set
Computation
Data
Database Sharding
(e.g. Distributed MySQL)
Friday, July 27, 2012

19. DATA FABRIC
Past: Present:
Scale the data Scale
set computation
Computation
Data
Database Sharding Move compute to data
(e.g. Distributed MySQL) (e.g. Hadoop)
Friday, July 27, 2012

20. DATA FABRIC
Past: Present: Future:
Scale the data Scale Address Real Time
set computation SLAs
Computation
C
CC
C
Data
Database Sharding Move compute to data Run data through
(e.g. Distributed MySQL) (e.g. Hadoop) compute
Friday, July 27, 2012

21. THE FUTURE
• The future of consumer experiences is the Real
Time Web
• It will enable a new market for Consumer
Intelligence applications
• Acting in real-time requires new data platforms
• There is a need for real-time BigData platforms
Friday, July 27, 2012

22. Friday, July 27, 2012

23. QUESTIONS?
Friday, July 27, 2012