Скачать или смотреть Data Triggers and Advanced Control Flow With Lakeflow Jobs

Lakeflow Jobs is the production-ready fully managed orchestrator for the entire Lakehouse with 99.95% uptime. Join us for a dive into how you can orchestrate your enterprise data operations, from triggering your jobs only when your data is ready to advanced control flow with conditionals, looping and job modularity — with demos! Attendees will gain practical insights into optimizing their data operations by orchestrating with Lakeflow Jobs: New task types: Publish AI/BI Dashboards, push to Power BI or ingest with Lakeflow Connect Advanced execution control: Reference SQL Task outputs, run partial DAGs and perform targeted backfills Repair runs: Re-run failed pipelines with surgical precision using task-level repair Control flow upgrades: Native for-each loops and conditional logic make DAGs more dynamic + expressive Smarter triggers: Kick off jobs based on file arrival or Delta table changes, enabling responsive workflows Code-first approach to pipeline orchestration

Talk By: Roland Fäustlin, Product Manager, Databricks

Here’s more to explore:
Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/...
The Big Book of Data Engineering: https://www.databricks.com/resources/...
See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat...

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