10 new requirements of modern data integration
TRANSCRIPT
2
Application integration is done primarily
through REST & SOAP services
3
Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses
4
Integration has to support the continuum of data velocities starting from batch all the way to continuous streams
5
Integration is event-
based rather than clock-
driven
6
Integration is primarily document-centric
7
Integration is hybrid and spans cloud-cloud and cloud-ground scenarios
8
Integration itself has to be accessible through SOAP/REST APIs
9
Integration is all about connectivity…
connectivity
connectivity
10
Integration has to be elastic
11
Integration has to be delivered as a service
12
10 New Requirements for Modern Data Integration
1. Application integration is done primarily through REST and SOAP services
2. Large-volume data integration is available to a Hadoop-based data lake or to cloud-based data warehouses
3. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams
4. Integration is event-based rather than clock-driven5. Integration is primarily document-centric6. Integration is hybrid and spans cloud-cloud and cloud-ground
scenarios7. Integration itself has to be accessible through SOAP/REST APIs8. Integration is all about connectivity, connectivity, connectivity9. Integration has to be elastic10. Integration has to be delivered as a service
Anythingapps | data | APIs | things
SnapLogic: Unified Platform for Data and Application Integration
Anytime batch | streaming | real-
time
Anywhereon prem | cloud | hybrid
