Migrate to Lakeflow Jobs: Modernizing Data Orchestration on Databricks

Still running orchestration outside Databricks? That often means more tools to manage, less context about your data, and more overhead connecting pipelines, schedules, and dependencies across systems.Join this session to learn how to migrate to Lakeflow Jobs, Databricks’ native orchestrator for data and AI workloads. We will cover practical migration patterns, the tooling available to accelerate the move, and the tips, techniques, and best practices that help teams reduce risk and avoid common pitfalls.You will learn:

• Why teams are consolidating orchestration onto Databricks
• How common migration patterns from legacy orchestrators map to Lakeflow Jobs
• What tooling, tips, and techniques can speed up migration and simplify rollout
• The best practices that help teams move faster with less operational overhead
• What real customer migrations look like in practice, including key challenges, tradeoffs, and outcomes