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Introducing Lakeflow: The Future of Data Engineering on Databricks
Hosted By: Databricks & 探花视频
Building modern data pipelines shouldn’t require juggling a patchwork of disconnected tools or managing complex handoffs. As data demands grow across government, agencies need a unified, reliable approach to ingesting, transforming and orchestrating data, without compromising governance or control
Attendees joined Databricks for a webinar introducing Lakeflow, a unified data engineering solution for building scalable, high-performance data pipelines with less operational complexity. Whether you're managing complex workflows or just getting started, Lakeflow provides an end-to-end solution for delivering high quality data.
On March 3rd, attendees learned:
- How Lakeflow brings ingestion, transformation and orchestration together across your data estate
- Core capabilities, including Lakeflow Connect, Lakeflow Spark Declarative Pipelines and Lakeflow Jobs
- How the new Lakeflow Designer provides a no-code interface for both business analysts and data engineers to collaborate
- How government teams can securely integrate data across departments while maintaining compliance
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