Informatica
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Accelerate your cloud data warehousing initiatives with Microsoft Azure

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 virtual learning lab and achieve analytics agility and scale with cloud data warehousing with Azure Synapse Analytics (formerly Azure SQL Data Warehouse). Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS), you can accelerate the migration of on-premises enterprise data warehouse (EDW) workloads to Azure.

Attend and Learn!

  • Find the right data fast with a business-friendly, intelligent data catalog – Discover data quickly with machine learning-based automated data classification. Collect upstream and downstream lineage to identify dependencies, de-risk “lift and shift” and ensure a smooth migration process to Azure Synapse.
  • Accelerate migration with hybrid, self-service data integration as a service – Simplify shifting workloads between on-premises systems and Azure Data Services with intelligent, cloud-based data management with native integration to on-premises databases (i.e. Oracle), data warehouses (i.e. Netezza, Teradata) and Microsoft Azure Data Services.

Learn more about how we work with Microsoft at www.informatica.com/azure.

Date: 22 September 2020
Time: 1:00 - 4:00 PM
Online: Zoom

Agenda

Time Session
01:00 PM Welcome & Introductions
Dion Jensen - Informatica
01:15 PM High-level Architecture for Azure & Informatica
Rüdiger Schickhaus - Microsoft
01:30 PM Virtual Learning Lab: Enterprise Data Catalog
Dion Jensen - Informatica
02:00 PM Virtual Learning Lab: Efficiently Ingest Streaming Data, Files, and Databases
Dion Jensen - Informatica
02:15 PM Break
02:30 PM Virtual Learning Lab: Synchronize data from on-premises database to Azure Synapse
Dion Jensen - Informatica
03:00 PM Virtual Learning Lab: Integrate & Cleanse Data into the Azure Synapse
Dion Jensen - Informatica
03:45 PM Wrap Up and Q&A
04:00 PM Close