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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
@SnapLogic
Facebook.com/SnapLogic
Plus.google.com/+SnapLogic
www.SnapLogic.com

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SnapLogic Big Data Integration

  • 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
  • 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: