SnapLogic provides a unified integration platform to connect data faster in big data environments. While traditional ETL tools were built for structured relational data, SnapLogic can handle both structured and unstructured data at large petabyte scales. It offers a drag-and-drop interface to simplify integration tasks for both technical and non-technical users. SnapLogic aims to power big data analytics through capabilities like data ingestion, preparation, and delivery to databases, BI tools, and cloud applications.

1. SnapLogic Big Data Integration

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

3. Perspectives on Big Data in 2015
But It’s Still Early Days…!
SnapLogic TechValidate InfoGraphic: Enterprise IT Uncertainty Around Big Data Initiatives in 2015

4. A Key Question to Consider….
EDW
BI
ETL
RDBMS
Should We Still Be Building Data Warehouses in 2015?!

5. Big Data Integration Requirements…
EDW Characteristics:
• Structured / relational
• Batch
• Historical
• Terabytes
Data Lake
Characteristics:
• Unstructured
• Real-time
• Predictive
• Petabyte scale
ETL
Internet of Things!

6. 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

7. SnapLogic: Unified Platform to Connect Faster

8. Built for Citizen and Advanced Integrators
• Drag, Drop, Connect HTML5 interface built for speed
• Hybrid cloud deployment

9. “Hadoop for Humans”
This
That
Eclipse
(Programmatic)
SnapReduce
(Declarative)

10. 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!

11. 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:

12. Discussion
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