This presentation from VoltDB CEO Bruce Reading, covers The 10 MS Rule: Getting to 'Yes' with Fast Data & Hadoop, was presented on Wednesday, September 30, 2015 at Strata + Hadoop World in New York City

1. page
THE 10 MS RULE:
GETTING TO ‘YES’ WITH FAST DATA & HADOOP
Bruce Reading - CEO VoltDB

2. page© 2015 VoltDB
HOW FAST IS FAST?
2

3. page
300 ms
3© 2015 VoltDB

4. page
120 ms
4© 2015 VoltDB

5. page
10 ms
5© 2015 VoltDB

6. page 6© 2015 VoltDB

7. page
FAST = ADVANTAGE
7© 2015 VoltDB

8. page© 2015 VoltDB 8
Source: Openet 2014 survey of 87 mobile operators
“Real-time” contextual offers
=
offer uptake rates 75%
data revenues by 15%.”

9. page© 2015 VoltDB
DATA-FICATION OF LIFE
"Smartness can be embedded everywhere," said
Professor Sangiovanni-Vincentelli, EE/CS at
University of California at Berkeley.
"The entire environment is going to be full of sensors
of all kinds. Chemical sensors, cameras and
microphones of all types and shapes. Sensors will
check the quality of the air and temperatures.
Microphones around your environment will listen to
you giving commands.“
The 10 Trillion Device World
Computerworld, September 2015
9

10. page© 2015 VoltDB
VALUE OF DATA DECREASES WITH TIME
10
Value
Time

11. page© 2015 VoltDB
Agree 35%
Strongly
agree 32%
Completely
agree 24%
Somewhat
agree 7%
Do not
agree 2%
11
91% of organizations believe
that real-time streaming analysis
will improve their business
AGREEMENT WITH STATEMENT
(% of Total Respondents; n=153)

12. page© 2015 VoltDB 12
And improving the customer
experience is the most popular
reason for real-time analytics
(% of Total Respondents; n=153)
Enhance CX
Improve efficiency of ops
or network
Gain competitive
advantage
Increase employee
productivity
Process sensor data from
Internet of Things apps
Rank 1 Rank 2 Rank 3 Rank 4 Rank 5
26 21 21 16 16
23 29 21 17 10
19 27 21 16 17
17 16 20 29 18
14 8 18 21 39

13. page
FAST BIG
13© 2015 VoltDB

14. page© 2015 VoltDB
WHAT’S REQUIRED?
14
“Translytics” - Transactions + analytics
in the same database
HTAP – hybrid transaction and analytic
processing “Enables applications to analyze
‘live’ data as it is created and updated by
transaction-processing functions

15. page© 2015 VoltDB 15

16. page© 2015 VoltDB 16
Context, Awareness
Real-time Interaction
+

17. page
Emily
Discover and insight in the stream
- Per person, per event
Make a Decision Based on State
- balance, approval, location, trigger….
Analytics + Transactions
17© 2015 VoltDB
STREAMING ANALYTICS + TRANSACTIONS

18. page
STREAMING ANALYTICS + TRANSACTIONS
18
Batch/Iterative Analytics
Data at Rest
• Statistical correlations
• Multi-dimensional analysis
• Predictive analytics
Emily
Analytics + Transactions
© 2015 VoltDB

19. page© 2015 VoltDB 19

20. page© 2015 VoltDB 20

21. page© 2015 VoltDB
DIY DISTRIBUTED DATA INFRASTRUCTURE?
How to ensure data consistency, accuracy?
21

22. page© 2015 VoltDB 22

23. page© 2015 VoltDB 23
Build distributed data
infrastructure
or
Create & build apps that generate
business value?

24. page© 2015 VoltDB 24
All businesses will compete on their ability to
personalize customer experiences
in real time.

25. page© 2015 VoltDB
VOLTDB SUPERHEROES
25

26. page© 2015 VoltDB 26
Behzad Pirvali
Performance Architect
MaxCDN uses 1/10th
compute resources of
alternate solutions.

27. page© 2015 VoltDB 27
Dan Khasis
Chief Technology Officer
“Achieved a previously
impossible level of budget
management accuracy”

28. page© 2015 VoltDB PROPRIETARY 28
Srikonth Markonda
Chief Technology Officer
Real-Time Event Decisioning
• 3 ms system response time
• 253% increase in offer purchases

29. page© 2015 VoltDB
WE DIG VOLTDB SUPER HEROES
29
• Simpler, Efficient
• Disruptive, Differentiating
• More Performant, More Profitable
• Accurate!

30. page
PRECISION
VS.
APPROXIMATION
30© 2015 VoltDB

31. page© 2015 VoltDB
Fast Data is the future,
31
And it’s happening now.

32. page© 2015 VoltDB page
THANK YOU
32