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Driving the On-Demand Economy with
Spark and Predictive Analytics
Eric Frenkiel, CEO and Co-Founder
March 2016 San Jose
We live in an
on-demand
economy
Consumers
are now
conditioned
to instant
services
Data
scientists
need to carry
the world
forward
Too often
stuck with
batch
processing
and slow ETL
Slow Loading
Slow Queries
No Concurrency
On-going Data Processing Barriers
There is
a shift
underway…
the move to
real time
Introducing MemSQL 5
The Database Platform for Real-Time Analytics
Real-time
business
intelligence
Streamliner
programmable
pipelines
New code
generation with
LLVM
Driving the On-Demand Economy with Spark and Predictive Analytics
Real-time
dashboards
are just the
first step
Streamliner
real-time
pipelines and
predictive
analytics
Real-Time
Application
Real-
Time
Inputs
Apache Spark
STREAMLINER
Extract, Transform, Load
Hadoop
Apache Spark
STREAMLINER
Extending Hadoop to Real-Time Processing
Spark MLlib Predictive Model
Raw Sensor 1 + Predictive Score 1
Real-Time Scoring for Predictive Applications
ID S1 S2 P1 P2
1
…
Real-
Time
Inputs
Apache Spark
STREAMLINER
Business
Logic
Putting
Streamliner to
work for IoT
applications
Driving the On-Demand Economy with Spark and Predictive Analytics
Get the blueprint
Front OfficeBack Office
Real-TimeBatch
Predictive InsightHindsight
TUTORIAL 11:00AM ROOM 210
DASH FORWARD
From Descriptive to Predictive Analytics
Guest from Kellogg
Be sure to visit the MemSQL booth

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