SnapLogic Big Data Integration

Perspectives on Big Data in 2015 Big Data is Changing the World…!

Perspectives on Big Data in 2015 But It’s Still Early Days…!

SnapLogic TechValidate InfoGraphic: Enterprise IT Uncertainty Around Big Data Initiatives in 2015

A Key Question to Consider….

EDW  

BI  

ETL  

RDBMS  

Should We Still Be Building Data Warehouses in 2015?!

Big Data Integration Requirements…

EDW Characteristics:•  Structured / relational•  Batch•  Historical•  Terabytes

Data Lake Characteristics:•  Unstructured•  Real-time•  Predictive•  Petabyte scale

ETL Internet of Things!

The Integrator’s Dilemma

•  Not built for the web•  On-prem ESB (xml, soap)•  Code-intensive

Legacy EAI •  Built for rows and columns•  Batch-oriented•  Struggles with real-time

Legacy ETL

SnapLogic: Unified Platform to Connect Faster

Built for Citizen and Advanced Integrators

• Drag, Drop, Connect HTML5 interface built for speed• Hybrid cloud deployment

“Hadoop for Humans”

This

That

Eclipse (Programmatic)

SnapReduce (Declarative)

The Old Way: Legacy ETL

SnapLogic!ETL !

Rows & Columns ! Semi / Unstructured!

Batch ! Real-time and Batch!

Tightly Coupled ! Loosely Coupled!

JDBC! JSON, REST, JDBC !

On-Prem ! Hybrid!

EDW ! EDW + Data Lake !

SnapLogic Big Data Integration

Powering Big Data Analytics

•  Data Ingestion•  Data Preparation•  Data Delivery

Partners:

•  For IT:•  Automate data ingest into Hadoop•  Deliver data to DBs, BI tools, and Cloud Apps•  De-normalize relational data•  Metadata management and lineage•  Generate MapReduce and Spark code for pipeline execution

•  For the Business:•  Open up Hadoop to IT/Business professionals “Hadoop for Humans”•  Prepare data for Data Scientists and Analytics

SnapLogic Benefits:

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