Don't Gamble With Your Data

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In this engaging presentation, Bruno Aziza covers 3 key Big Data concept: definitions, lessons and best practices. Subjects covered: What is Big Data? Does Hadoop Matter? How to scale Data Science and Data Scientists? For more, go to www.alpinenow.com Access to 30-day trial @ www.start.alpinenow.com

Technology

DON’T GAMBLE WITH YOUR DATA
AlpineNow.com
Bruno Aziza
CMO
bruno@alpinenow.com

AlpineNow.comAlpineNow.com
The Alpine Difference
World’s 1st Collaborative, Code-Free Solution for Advanced Analytics on Big Data
 Cutting-Edge Algorithms
 End-to-End Analytics Processing
 In-Cluster™: No Data Movement
 Visual, Collaborative
 Lightweight, Big Impact

Relational Data
VELOCITY
VARIETY
VOLUME
AlpineNow.com

AlpineNow.com
VELOCITY
VOLUME
VARIETY
VALUE
VIRALITY
VEHEMSITY
VALIDITY
VASTICITY
VELVESITY
VANITY

8 Proprietary Data Enhancements Algorithms (PageRank for People)
13 Social Networks Processed Every Day
120 Terabytes of Data Storage
200,000 Indexed Users Added Every Day
100,000,000 Users Indexed Every Day
1,000,000,000 Social Signals Processed Every Day
10,000,000,000 API Calls Delivered Every Month
54,000,000,000 Rows of Data In Klout Data Warehouse
AlpineNow.com

1. Transfers from Real to AC Milan for 15 million euros.
2. Injures his knee just three minutes into his first treadmill session.
3. Does NOT play for 2.5 years of his 3 year contract (16 games).
4. Retires.
FERNANDO REDONDO
AlpineNow.com

“We can predict with a 70% accuracy whether the player is going to get hurt or
not”, says 63-year-old Belgian chiropractor Jean-Pierre Meersseman…
.
AlpineNow.com

• Total practice days lost down 43%.
• Use of medicines down 70%.
• Player injuries dropped by 2/3.
• Milan Lab allows him to shed 40%
of his body fat in record time.

DATA SCIENTIST, WHO ARE YOU?
What my FRIENDS think I do
What I REALLY doWhat INVESTORS think I do
What SOCIETY thinks I doWhat my MOM thinks I do
What I think I do

12.14540
+ 0.00117 winter rainfall
+ 0.0614 average growing
season temperature
– 0.00386 harvest rainfall
Princeton economist Orley Ashenfleter predicts Bordeaux wine quality (and hence eventual price) using a model. Ashenfelter was right
and Parker wrong about the ‘86 vintage, and the way-out-on-a-limb predictions Ashenfelter made about the sublime quality of the
‘89 and ‘90 wines turned out to be spot on.

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