hadoop for humans: introducing snapreduce 2.0
DESCRIPTION
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/snapreduceTRANSCRIPT
Hadoop for Humans:Introducing SnapReduce 2.0
2
Today’s Agenda
Darren CunninghamVP Marketing
Craig StewartSr. Director, Product Management
Greg BensonChief Scientist
The Big Data Promise and Reality
Introducing SnapReduce 2.0
Demonstration
Discussion and Next Steps
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
Big Data Hype: Go Big or Go Home…
5
Hadoop and the Data Warehouse
“Where you stand depends on where you sit…”
6
Big Data Integration
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
Key Components of the SnapLogic Platform
“Control Plane”Designer, Manager, Dashboards
(Multi-tenant cloud service)
1
“Cloudplex”
“Groundplex”
“Hadooplex”
“Data Plane”Snaplex
(Elastic execution)
2New!
Snaps(Buy or Build)
3
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
Snaplex YARN Application
= Snaplex Container
11
Snaplex Generating MapReduce
MAP
YARN
MAP
MAP
MAP
REDUCEMAP MAPREDUCE
SnapReduceCompiler
Map Reduce
12
Bringing it Together: Hadoop, Workday, API
13
SnapReduce 2.0 Demonstration
14
SnapReduce 2.0: “Hadoop for Humans”
SnapReduce
Map Reduce
Vs.
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 StevensVP Corporate and Business Development, Cloudera
16
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
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
18
Discussion www.SnapLogic.com/BigData
Darren Cunningham Craig Stewart Greg Benson