Cloud data warehousing provides on-demand, unlimited capacity for analytics, but how do you get from your rigid, expensive on-premises enterprise data warehouse to Azure Synapse Analytics? Join this workshop to learn how you can quickly achieve analytics agility and scale with cloud data warehousing with Azure Synapse Analytics.

This hands-on, instructor-led workshop will show you how to rapidly implement new business analytics with cloud data warehousing patterns on Azure.

Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS) products, you can accelerate the migration of on-premises enterprise data warehouse (EDW) workloads to Azure.

Attendees learn how to:

  • Reduce the time it takes to find the right data with intelligent data cataloging: Find data quickly with machine learning-based automated data classification in a business-friendly data discovery catalog. The catalog also collects upstream and downstream lineage to identify dependencies, which de-risks “lift and shift” and ensures a smooth migration process to Azure SQL Data Warehouse.
  • Accelerate migration with hybrid self-service data integration as a service: Simplify the effort of shifting workloads between on-premises systems and Azure Data Services with intelligent cloud-based data management with native integration to on-premises databases (e.g., Oracle), data warehouses (e.g., Netezza/Teradata), and Microsoft Azure Data Services.

Attendees will walk away with:

  • A better understanding of how you can leverage Azure SQL Data Warehouse to scale your analytics agility and reduce costs.
  • Hands-on experience with Informatica solutions to accelerate, simplify, and de-risk migration of EDW workloads to Azure Synapse Analytics.
Date: Thursday, January 30, 2020
Time: 8:30 am – 12:00 pm
Location: Microsoft AB
Regeringsgatan 25
10368 Stockholm


8:30 am – 8:45 am Registration and breakfast
8:45 am – 9:15 am Why have Informatica and Microsoft chosen to team up around data warehouse modernization?
9:15 am – 9:45 am Data Cataloging
9:45 am – 10:30 am Enterprise Data Catalog – Hands on Lab
10:30 am – 10:45 am Coffee Break
10:45 am – 11:15 am Cloud Data Integration
11:15 am – 12:00 pm Intelligent Cloud Services – Hands on Lab
12:00 pm Working Lunch Summary and Q&A