On-Demand Webinar
From Legacy ETL to Databricks: A Guided Migration Approach Using Lakebridge
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Who Should Attend?
Higher Education Leaders
IT Decision-Makers
AI Enthusiasts
Speakers
Haider Jan
Principal Data Engineer – AI Solutions
Saurin Patel
Data & AI Engineer
Accelerating ETL Modernization with a Risk-Free Databricks Migration
Legacy ETL platforms often limit scalability, agility, and cost efficiency—making modernization to Databricks a strategic priority. In this on-demand webinar, we’ll demonstrate a structured, repeatable approach to migrating existing ETL workloads to Databricks using Lakebridge, focusing on minimizing risk while accelerating value.
Watch this on-demand webinar, ideal for IT leaders and business stakeholders seeking a practical, low-risk approach to Databricks adoption. Understand the actionable guidance on modernizing ETL pipelines, validating workloads, and optimizing performance—all while keeping overhead to a minimum.
Register now to watch this on-demand webinar.
Agenda
- Why legacy ETL modernization fails — and how Lakebridge changes the approach
- Overview of Lakebridge for ETL discovery, assessment, and migration planning
- Step-by-step blueprint to migrate ETL pipelines to Databricks
- Live demonstration: bringing existing ETLs into Databricks using Lakebridge
- Best practices for phased migration, validation, and optimization