sas - presentation at hortonworks booth - strata 2014
DESCRIPTION
Using the right big data approach and architecture can be just as important as choosing the right predictive algorithm. This presentation will highlight the variety of ways that SAS is leveraging it’s 40 years of Advanced Analytics leadership for Big Data Hadoop environments, to tackle today’s most difficult business issues.TRANSCRIPT
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
PREDICTIVE ANALYTICS AND BIG DATA
Rachel Hawley
Solutions Architect
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
ANALYTICS SAS® BUSINESS ANALYTICS FRAMEWORK
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS AND YARN
http://blogs.sas.com/content/datamanagement/2014/08/20/sas-high-performance-capabilities-with-hadoop-yarn/
“With this milestone, we warmly welcome SAS LASR to a growing community of YARN Ready applications.” – Arun Murthy
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
TWO STARTING
POINTS
NOT MUTUALLY EXCLUSIVE… BUT OFTEN NOT SEEN TOGETHER!
Hadoop as a Data Platform(standalone or as part of a broader ecosystem)
Hadoop as a core component of the next
generation of BI and Analytics
.. to support innovative business usage.. to support an IT Transformation
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS & HADOOP HOW?
SAS & Hadoop intersect in many ways:
SAS can treat Hadoop just as any other data source, pulling data
FROM Hadoop, when it is most convenient;
SAS can work WITH Hadoop, lifting data in a purpose-built
advanced analytics in-memory environment;
SAS can work directly IN Hadoop, leveraging the distributed
processing capabilities of Hadoop.
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS AND HADOOP HOW DOES IT WORK?
Data Store
SAS
Traditional SAS
THESE APPROACHES ARE COMPLEMENTARY & CAN BE COMBINED FOR MAXIMUM EFFECT
Data Store
SAS
Data
In-Memory
MemoryData
Data Store
SAS
Data
In-Database
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
FROM + WITH + IN HADOOP IS NOT AN OR, BUT AN AND
Prepare data IN
Hadoop for
analytics
Move it FROM Hadoop
into a SAS server
Deploy and manage
model score code
IN Hadoop
HPA temporarily lifts
data IN to memory for
analytics at scale
Model data at scale in-
memory WITH visual
statistics and in-memory
statistics
TIP
Use the right
technique for
what needs to
be done!
Explore data at scale, in-
memory WITH visual
analytics