BIG DATA:
WHAT’S IT REALLY ABOUT?
Rich Brueckner
President, InsideBIGDATA
© TCC 2014, Confidential and Proprietary
AGENDA

•
•
•
•
•
•
•

Proper Intro
It’s Not the Data. It’s What You Use it for.
How Big Data Got Me Here

Case Studies
HP...
THE PROPER INTRODUCTION

insideBIGDATA.com

© TCC 2014, Confidential and Proprietary
WHAT BIG DATA IS NOT

•
•
•

Size matters not.
It’s not about the Data, it’s what you do with
it.
Deriving insight from Da...
FOR TODAY’S DISCUSSION:
BIG DATA = HIGH PERFORMANCE DATA ANALYSIS

© TCC 2014, Confidential and Proprietary
BIG DATA IS ABOUT TWO THINGS

© TCC 2014, Confidential and Proprietary
BIG DATA IS ABOUT TWO THINGS

First it’s about Money, Lots of
Money
© TCC 2014, Confidential and Proprietary
© TCC 2014, Confidential and Proprietary
SO WHAT’S THE SECOND THING?

© TCC 2014, Confidential and Proprietary
SO WHAT’S THE SECOND THING?

© TCC 2014, Confidential and Proprietary
SO WHAT’S THE SECOND THING?

© TCC 2014, Confidential and Proprietary
SO WHAT’S THE SECOND THING?
“ Bayesian probability provides a rational method for updating beliefs.”

© TCC 2014, Confiden...
Big Data is about Degrees of Belief.
…even about how we feel about data itself.

© TCC 2014, Confidential and Proprietary
Can I prove that Big Data is about Degrees of Belief?

These 12 words just cost Facebook $18 billion of value:
"We did see...
BIG DATA- WHAT’S CHANGED?
• The nature of the Data: From
Sampling to Full Datasets
• Rise of unstructured data
• Acceptanc...
THE BIG DATA FRONTIER

There is no Eminent Domain

© TCC 2014, Confidential and Proprietary
SO WHERE ARE HEADED IN THIS TALK?

© TCC 2014, Confidential and Proprietary
BEWARE THE BIG DATA NAYSAYERS
WHAT IS THEIR AGENDA?

© TCC 2014, Confidential and Proprietary
IF BIG DATA IS SO POWERFUL,
WHY CAN’T IT PREDICT THE ECONOMY?
The Stock Market is all about Degrees of Belief!

• The econ...
HOW BIG DATA GOT ME HERE

© TCC 2014, Confidential and Proprietary
HOW BIG DATA GOT ME HERE

•
•
•

REACH – Measure of total audience size.
RESONANCE – How much activity someone
creates whe...
CASE STUDY: SUMO FRAUD

•
•
•
•

Match-Fixing Scandal in 2011
Discovered through Big Data analysis.
Proven by Text Message...
CASE STUDY: PREDICTION MACHINE

•
•

Tool simulates each and every game 50,000
times before making a pick.
32 million Amer...
CASE STUDY: MORTGAGE FRAUD
LexisNexis Risk Analysis

• Developed HPCC technology - an HPC alternative to Hadoop
• Database...
© TCC 2014, Confidential and Proprietary
CASE STUDY: BIG BROTHER WATCHES BIG BROTHER

© TCC 2014, Confidential and Proprietary
WORLD’S CONVERGING:
HPC AND BIG DATA

Venus
(HPC)

Mars
(Big Data)

© TCC 2014, Confidential and Proprietary
PAYPAL CASE STUDY: HPC IN THE ENTERPRISE
“Examples of large
organizations using HPC
include PayPal, which IDC
estimates ha...
PAYPAL CASE STUDY: HPC IN THE ENTERPRISE

© TCC 2014, Confidential and Proprietary
HPC - WHAT’S CHANGED?

1986
CRAY X-MP/4
4 Vector Processors
800 Mflops (106)

2013
Tianhe 2
3,120,000 cores
33.86 Petaflop...
THE HPC FRONTIER

© TCC 2014, Confidential and Proprietary
TRENDS
• Rise of Real-Time Analytic
through in-memory
technologies
• Enterprises adopt HPC
technologies into workflow
• In...
© TCC 2014, Confidential and Proprietary
SUMMARY
Big Data is about two things:

• Money! Making More and
Keeping it

• Degrees of Belief

© TCC 2014, Confidential ...
CALL TO ACTION

• Check out insideBIGDATA.com
• Buy this book:
• Big Data: A Revolution That Will
Transform How We
Live, W...
CALL TO ACTION
Read my SCI-FI Original:
The Observer Effect

http://bit.ly/theobservereffe
ct

© TCC 2014, Confidential an...
POLL: SO HOW DID I DO TONIGHT?

© TCC 2014, Confidential and Proprietary
PLEASE LET ME KNOW HOW I DID!
“Big Data: What’s It Really About?”

1) WITH YOUR MOBILE DEVICE:
In the TCCLive mobile app,
...
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Big Data - What is it Really About?

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In this video from the Technology Convergence Conference 2014, Rich Brueckner from insideHPC presents: Big Data - What's It Really About?

"While the term Big Data has become pervasive in Information Technology, many in the industry are still puzzled by how to make money from this phenomenon. In this talk, Brueckner will look at what's really behind Big Data as an engine for change and describe case studies that are bringing the full potential of Big Data home."

Watch the video presentation: http://insidehpc.com/2014/02/20/video-big-data-whats-really/

Learn more: http://insidebigdata.com

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Big Data - What is it Really About?

  1. 1. BIG DATA: WHAT’S IT REALLY ABOUT? Rich Brueckner President, InsideBIGDATA © TCC 2014, Confidential and Proprietary
  2. 2. AGENDA • • • • • • • Proper Intro It’s Not the Data. It’s What You Use it for. How Big Data Got Me Here Case Studies HPC and Big Data Trends- What’s Next? Call to Action © TCC 2014, Confidential and Proprietary
  3. 3. THE PROPER INTRODUCTION insideBIGDATA.com © TCC 2014, Confidential and Proprietary
  4. 4. WHAT BIG DATA IS NOT • • • Size matters not. It’s not about the Data, it’s what you do with it. Deriving insight from Data for purposes for © TCC 2014, Confidential and Proprietary
  5. 5. FOR TODAY’S DISCUSSION: BIG DATA = HIGH PERFORMANCE DATA ANALYSIS © TCC 2014, Confidential and Proprietary
  6. 6. BIG DATA IS ABOUT TWO THINGS © TCC 2014, Confidential and Proprietary
  7. 7. BIG DATA IS ABOUT TWO THINGS First it’s about Money, Lots of Money © TCC 2014, Confidential and Proprietary
  8. 8. © TCC 2014, Confidential and Proprietary
  9. 9. SO WHAT’S THE SECOND THING? © TCC 2014, Confidential and Proprietary
  10. 10. SO WHAT’S THE SECOND THING? © TCC 2014, Confidential and Proprietary
  11. 11. SO WHAT’S THE SECOND THING? © TCC 2014, Confidential and Proprietary
  12. 12. SO WHAT’S THE SECOND THING? “ Bayesian probability provides a rational method for updating beliefs.” © TCC 2014, Confidential and Proprietary
  13. 13. Big Data is about Degrees of Belief. …even about how we feel about data itself. © TCC 2014, Confidential and Proprietary
  14. 14. Can I prove that Big Data is about Degrees of Belief? These 12 words just cost Facebook $18 billion of value: "We did see a decrease in daily users specifically among younger teens." © TCC 2014, Confidential and Proprietary
  15. 15. BIG DATA- WHAT’S CHANGED? • The nature of the Data: From Sampling to Full Datasets • Rise of unstructured data • Acceptance of messiness in the data • N=All http://bit.ly/1gZ7ZbD © TCC 2014, Confidential and Proprietary
  16. 16. THE BIG DATA FRONTIER There is no Eminent Domain © TCC 2014, Confidential and Proprietary
  17. 17. SO WHERE ARE HEADED IN THIS TALK? © TCC 2014, Confidential and Proprietary
  18. 18. BEWARE THE BIG DATA NAYSAYERS WHAT IS THEIR AGENDA? © TCC 2014, Confidential and Proprietary
  19. 19. IF BIG DATA IS SO POWERFUL, WHY CAN’T IT PREDICT THE ECONOMY? The Stock Market is all about Degrees of Belief! • The economic system is non-linear. • Therefore, even a small stimulus can create a completely unexpected result • It’s a complex dynamical system where you don’t have clear knowledge of the initial conditions or the conditions of the stimulus. • Big Data can can help you see averages, find the needle in the haystack, and help identify the accurate models for predicting what the market is really going to be doing. © TCC 2014, Confidential and Proprietary
  20. 20. HOW BIG DATA GOT ME HERE © TCC 2014, Confidential and Proprietary
  21. 21. HOW BIG DATA GOT ME HERE • • • REACH – Measure of total audience size. RESONANCE – How much activity someone creates when he/she publishes. RELEVANCE – How relevant someone is to a © TCC 2014, Confidential and Proprietary
  22. 22. CASE STUDY: SUMO FRAUD • • • • Match-Fixing Scandal in 2011 Discovered through Big Data analysis. Proven by Text Messages. $200 tickets and $1 Million Dollar Champions. © TCC 2014, Confidential and Proprietary
  23. 23. CASE STUDY: PREDICTION MACHINE • • Tool simulates each and every game 50,000 times before making a pick. 32 million Americans average yearly spend is $467 or $15 billion in total playing. © TCC 2014, Confidential and Proprietary
  24. 24. CASE STUDY: MORTGAGE FRAUD LexisNexis Risk Analysis • Developed HPCC technology - an HPC alternative to Hadoop • Database has 270 Million Individuals in the US Alone • They know you’re that John Smith • Graph Analysis spots Relationships • Ability to spot mortgage fraud rings that were previously undetectable Annual Fraud Estimates: California, at $864 million New York at $278 million Florida at $273 million • • • © TCC 2014, Confidential and Proprietary
  25. 25. © TCC 2014, Confidential and Proprietary
  26. 26. CASE STUDY: BIG BROTHER WATCHES BIG BROTHER © TCC 2014, Confidential and Proprietary
  27. 27. WORLD’S CONVERGING: HPC AND BIG DATA Venus (HPC) Mars (Big Data) © TCC 2014, Confidential and Proprietary
  28. 28. PAYPAL CASE STUDY: HPC IN THE ENTERPRISE “Examples of large organizations using HPC include PayPal, which IDC estimates has saved over $700 million by adopting HPC for real-time detection of online consumer fraud.” - Steve Conway, IDC © TCC 2014, Confidential and Proprietary
  29. 29. PAYPAL CASE STUDY: HPC IN THE ENTERPRISE © TCC 2014, Confidential and Proprietary
  30. 30. HPC - WHAT’S CHANGED? 1986 CRAY X-MP/4 4 Vector Processors 800 Mflops (106) 2013 Tianhe 2 3,120,000 cores 33.86 Petaflops (1015) © TCC 2014, Confidential and Proprietary
  31. 31. THE HPC FRONTIER © TCC 2014, Confidential and Proprietary
  32. 32. TRENDS • Rise of Real-Time Analytic through in-memory technologies • Enterprises adopt HPC technologies into workflow • Internet of Things Feeds Big Data Phenomenon and ends up swallowing Big Data as a meme. © TCC 2014, Confidential and Proprietary
  33. 33. © TCC 2014, Confidential and Proprietary
  34. 34. SUMMARY Big Data is about two things: • Money! Making More and Keeping it • Degrees of Belief © TCC 2014, Confidential and Proprietary
  35. 35. CALL TO ACTION • Check out insideBIGDATA.com • Buy this book: • Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schonberger and Kenneth Cukier © TCC 2014, Confidential and Proprietary
  36. 36. CALL TO ACTION Read my SCI-FI Original: The Observer Effect http://bit.ly/theobservereffe ct © TCC 2014, Confidential and Proprietary
  37. 37. POLL: SO HOW DID I DO TONIGHT? © TCC 2014, Confidential and Proprietary
  38. 38. PLEASE LET ME KNOW HOW I DID! “Big Data: What’s It Really About?” 1) WITH YOUR MOBILE DEVICE: In the TCCLive mobile app, “Agenda” section, then tap “Surveys” - OR 2) FILL OUT THE PAPER VERSION given to you at registration © TCC 2014, Confidential and Proprietary
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