Automated ETL Migration to Azure for Accelerated Data Warehouse Modernization

As enterprises are focused on getting their data ready to drive AI innovation, the need for modernizing data warehousing and particularly ETL is becoming more urgent. This urgency is compounded by increased risks related to legacy tools reaching end of support and the need to avoid renewal costs and long-term lock-in with these outdated systems.

This webinar navigates the end-to-end lifecycle to migrate legacy ETL like Informatica PowerCenter, DataStage, SSIS and Ab Initio to Azure Data Factory (ADF) or PySpark for execution in Azure Databricks or Fabric Notebooks. The session includes demos on solutions for automating source ETL analysis and code conversion.

Key benefits to be explored include

• How automation provides significant reduction in development and testing efforts
• Risk-free approach to convert any ETL to Azure to accelerate cloud data warehouse migration
• How automation is used for assessment, conversion and validation
• Achieve reduced and predictable timeline and cost for your ETL migration initiative

About Presenter

Shalini Nigam

Shalini Nigam is a resourceful and successful strategic cloud solution architect. She is responsible for the overall development and design of a robust, scalable, and cloud-based platform and helps organizations to implement and oversee cloud computing strategy in their cloud migration journey.

Cloud Solution Architect at Bitwise

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