Building reliable ETL pipelines with built-in observability - Data Engineering with Databricks
Автор: Databricks
Загружено: 2025-08-08
Просмотров: 7358
As a data engineer, you bear the heavy responsibility of ensuring that the data pipelines you are building are healthy, reliable and efficient, enabling trustworthy downstream analytics and ML.
With Databricks Lakeflow, data engineers can enjoy a rich set of integrated observability features across data ingestion, transformation and orchestration so they can diagnose bottlenecks, optimize performance, and better manage resource usage and costs, in one single place. When you have access to end-to-end monitoring, you stay in control of your data and your pipelines.
Watch this video to learn about observability in Lakeflow Jobs and the latest tools we offer for pipeline monitoring, debugging and optimization.
Additional resources:
Watch 2025 Data + AI Summit session, Lakeflow Observability: From UI Monitoring to Deep Analytics - • Lakeflow Observability: From UI Monitoring...
Learn more about Lakeflow Jobs -https://www.databricks.com/product/da...
Blog: What’s New: Lakeflow Jobs Provides More Efficient Data Orchestration - https://www.databricks.com/blog/whats...
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