In this webinar, we talk about what role traditional extraction, transformation and load (ETL) tools will play when it comes to big data analytics as the organizing principles of managing big (and small) data are in the midst of being rewritten. We also discuss new trends in the big data market, what’s changing and the impact of Spark, while reviewing some of the use cases we’re seeing for a more flexible integration platform as a service (iPaaS) that can handle multiple styles of ingesting, synchronizing and transforming big data sources. To learn more, visit: http://www.snaplogic.com/solutions/big-data

1. Big Data Integration:
Why Same Old, Same Old Won't Cut It

2. Today’s Agenda
• Discussion with Greg Benson - Big Data Integration: Why Now?
• SnapLogic Introduction: SnapReduce and the Hadooplex
• SnapLogic Elastic Integration Demonstration
• Discussion
Darren Cunningham
VP of Marketing
Craig Stewart
Sr. Director
Product Management
Greg Benson
Chief Scientist

3. About Greg Benson
• SnapLogic Chief Scientist
• 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. Big Data Primer: What is Hadoop 2.0?

5. Big Data Integration:
Why Now? What’s Different

6. What Do You Hear from Customers?

7. SnapLogic: Connecting Data, Apps and APIs
Our unified platform significantly speeds up
enterprise data access everywhere.
- Gaurav Dhillon, SnapLogic Founder and CEO
• Experienced Team: Leadership from Informatica,
Salesforce, Microsoft
• Headquarters: San Mateo, CA
• Investors: Andreessen Horowitz & Ignition
• Advisory Board: AstraZeneca, HP, Symantec, Yahoo
• Customers: Adobe, Acxiom, Blackberry, Bloomin’
Brands, CapitalOne, Cisco, GE, iRobot, Netflix…

8. Elastic Integration Platform as a Service
Integration Cloud!
Designer, Manager, Dashboards
(Multi-tenant cloud service)
Elastic Execution!
Snaplex
Snaps!
(Buy or Build)
“Cloudplex”
“Hadooplex”
“Groundplex”

9. Hybrid Deployment
• Streams: No data is
stored/cached
• Secure: 100%
standards-based
• Elastic: Scales out &
handles data and app
integration use cases
Metadata
Data

10. Elastic Scale Out
• Each Snaplex can
elastically expand
and contract based
on data traffic
flowing through it
• Built-in smarts to
automatically scale
the Snaplex out and
in to handle variable
traffic loads

11. SnapLogic for Big Data Integration
ACQUIRE PREPARE DELIVER
• Sort
• Aggregate
• Join
• Merge
• Transform
Hadoop + SnapReduce

12. SnapReduce and the Hadooplex
Acquire, Prepare, Deliver Big Data
YARN
YARN
MapReduce
MapReduce
MapReduce
MapReduce
MapReduce
MapReduce
MapReduce
MapReduce
Snaplex YARN Application!
MapReduce Generation!
Snaplogic iPaaS + Hadoop
= Snaplex Container

13. Hadooplex: Snaplex YARN Application
= Snaplex Container
• Snaplex has 3 types:
o Cloudplex
o Groundplex
o Hadooplex
• Kerberos
Authentication
• Certified by
Cloudera and
Hortonworks

14. SnapReduce: Pipelines Generate MapReduce
SnapReduce
Compiler
MAP MAP MAP MAP
REDUCE MAP REDUCE MAP
Map Reduce
• A checkbox option to
SnapReduce-enable a
pipeline
• New support for
SequenceFile, RCFile,
document (JSON)
processing for
MapReduce jobs
YARN

15. Big Data Integration Demonstration

16. What’s Next?

17. Discussion
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