In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery. To learn more, visit: http://www.snaplogic.com/snapreduce

1. Hadoop for Humans:
Introducing SnapReduce 2.0

2. 2
Today’s Agenda
Darren Cunningham
VP Marketing
Craig Stewart
Sr. Director,
Product Management
Greg Benson
Chief Scientist
 The Big Data Promise and Reality
 Introducing SnapReduce 2.0
 Demonstration
 Discussion and Next Steps

3. 3
About Greg Benson
 Professor of Computer
Science at the University
of San Francisco
 Worked on research in distributed systems, parallel
programming, OS kernels, and programming languages
for the last 20 years

4. 4
Big Data Hype: Go Big or Go Home…

5. 5
Hadoop and the Data Warehouse
“Where you stand depends on where you sit…”

6. 6
Big Data Integration

7. 7
SnapLogic Elastic Integration
A single platform to connect data, apps and APIs
Data Applications APIs
We’re 100% focused on delivering faster application,
process and data integration in a single cloud platform.
- Gaurav Dhillon, SnapLogic Founder and CEO
““

8. 8
Key Components of the SnapLogic Platform
“Control Plane”
Designer, Manager, Dashboards
(Multi-tenant cloud service)
1
“Cloudplex”
“Groundplex”
“Hadooplex”
“Data Plane”
Snaplex
(Elastic execution)
2
New!
Snaps
(Buy or
Build)
3

9. 9
SnapReduce 2.0
Snaplex YARN Application
MapReduce Generation
MapReduce
Snaplogic iPaaS + Hadoop
YARN
YARN
MapReduce
MapReduce MapReduce
MapReduce MapReduce
MapReduce MapReduce
= Snaplex Container

10. 10
Snaplex YARN Application
= Snaplex Container

11. 11
Snaplex Generating MapReduce
MA
P
YARN
MA
P
MA
P
MA
P
REDUCEMAP MAPREDUCE
SnapReduce
Compiler
Map Reduce

12. 12
Bringing it Together: Hadoop, Workday, API

13. 13
SnapReduce 2.0 Demonstration

14. 14
SnapReduce 2.0: “Hadoop for Humans”
SnapReduce
Map Reduce
Vs.

15. 15
SnapReduce 2.0: Elastic Scale Out
“SnapReduce 2.0 enables customers to leverage
Cloudera Enterprise’s massively parallel processing
capabilities for their big data integration initiatives.”
Tim Stevens
VP Corporate and Business Development, Cloudera

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Why SnapLogic SnapReduce 2.0
 Acquire:
– Improved Information Access
with +160 Snaps
– Scale Out Architecture
– Respect for Data Gravity
 Prepare:
– Double Your Data Scientists
– “Hadoop for Humans”
 Deliver:
– Statisticians, BI Analysts,
Visualizations

17. 17
SnapReduce 2.0 Availability
 Early Access Program has started
– http://www.snaplogic.com/snapreduce
– Certified on Cloudera, HortonWorks
 Working with some large customers on their use cases
 GA targeted for end of September

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Discussion www.SnapLogic.com/BigData
Darren Cunningham Craig Stewart Greg Benson