Wee Hyong Tok. With Azure Data Factory (ADF), existing data movement and analytics processing services can be composed into data pipelines that are highly available and managed in the cloud. In this demo-driven session, you learn by example how to build, operationalize, and manage scalable analytics pipelines. Go to https://channel9.msdn.com/ to find the recording of this session.

4. How are customers using Cortana Analytics?
customers.microsoft.com

5. Studio X – Game Studio

6. DemoLet’s get started!

8. Data Sources Ingest Transform & Analyze Publish

9. Azure Blob Storage
Game Log Files
Customer Table
On Premises
Data Mart
Game Logs
Gamers Profile
Azure DB
Customer
Game Usage
Visualize
Data Set
(Collection of files,
DB table, etc)
Activity: a processing step
(Hadoop job, custom code, ML model, etc)
Pipeline: a sequence of
activities (logical group)
Data Factory
Concepts
…
Data Sources Ingest Transform & Analyze Publish
Customer
Table
Geocode
Transform,
Combine, etc Analyze Move

10. Azure Data Factory
A managed cloud service for building &
operating data pipelines

12. Demo
Using Azure Data Factory
to Operationalize Your
Analytics Solution