hadoop for humans: introducing snapreduce 2.0

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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

TRANSCRIPT

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

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