Date post: | 15-Aug-2015 |
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Technology |
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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:
Discussion
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