Data Warehouse Modernization on Azure

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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 leaning 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, data warehouses and Microsoft Azure Data Services.

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

Speakers:

  • Ken Miller, General Manager, West Region, Azure Intelligent Cloud, Microsoft

Agenda:

  • Welcome & Introductions
  • High-level Architecture for CDW/DL for Ecosystems
  • Virtual Learning Lab: Catalog for CDW/DL​
  • Virtual Learning Lab: Mass Ingestion for CDW/DL​
  • Virtual Learning Lab: DI/DQ for CDW/DL​
  • Wrap Up and Q&A

 

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Informatica will use data provided here in accordance with our privacy policy. For California consumers, see our California privacy notice.

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Please complete the form below to watch this webinar

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Informatica will use data provided here in accordance with our privacy policy. For California consumers, see our California privacy notice.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.