TechTalk: How SnapReduce 2.0 Makes Big Data Elastic

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SnapReduce 2.0: Tech Talk with Greg Benson, Chief ScientistManeesh JoshiSenior Director, Product Marketing and StrategyMay 2014

ENTERPRISE CLOUD INTEGRATION

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The SnapLogic Elastic Integration PlatformElastic Data, Apps and APIs

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SnapLogic Modern Architecture: Elastic Scale

Cloud to On-Prem Snaplex

REST

Cloud to Cloud Snaplex

• Streams: No data is stored/cached

• Secure: 100% standards-based

• Elastic: Scales out & handles data and app integration use cases

REST

Metadata

Data

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App Integration: 160+ Snaps for All Styles

HybridCloud to Ground Ground to GroundCloud to Cloud

Key Features:

Event-based real-time

Guaranteed Delivery

SnapStore and SDK

Any hybrid permutation of integration

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Key Features:

Big Data Snaps and SnapReduce

Amazon Redshift, MongoDB, Netezza Snaps

BI Snaps for Tableau, Birst, Tidemark and more

Batch and Real-Time Data Flows

ETL Transformations, Aggregation, Joins, and Sorts

Structured and Unstructured (JSON) Data

Data Integration: Agility for Analytics

SnapLogic’s powerful, yet easy-to-use data loading and integration wizard allows Amazon Redshift customers to quickly explore the benefits of a fast, fully managed, petabyte-scale data warehouse service using their own data.

- Terry Wise, Director, Worldwide Partner Ecosystem, Amazon Web Services

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Big Data Integration: SnapReduce 2.0

Highly Optimized, High Performance, Consolidated Data Platform

PAST PRESENT SnapReduce 2.0

MapReduce

YARN

HDFS

Linear Scale Out

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The SnapLogic Integration Cloud

Multi-Point• Design, Monitor,

Manage • Orchestration & Admin

Modern• Snaplex: Elastic,

Scale-out, hybrid

Fast• 160+ Prebuilt Snaps• SDK for Building

Custom

Single Platform for Cloud Analytics, APIs and App Integration

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Next Steps

SnapReduce 2.0

http://www.snaplogic.com/snapreduce

Early Access Program

http://www.snaplogic.com/snapreduce#EAP