Whether your data pipelines power an AI-powered support chatbot, an eCommerce recommendation engine, or internal analytics dashboards, robust observability is critical. Knowing how to intervene if something goes wrong, whether your pipelines are running on time, and whether your data passes your quality requirements is crucial for getting value out of your data.
Observability tools and features allow you to gain insights into the health and performance of your data pipelines, ensuring your data is accurate, fresh, and on time.
Join us for an overview of data observability for Airflow; topics include:
- Tracking data lineage
- Detecting anomalies
- Monitoring data quality
- Getting actionable insights into the performance of your data operations
We’ll also cover relevant OSS Airflow features like alerts, lineage, data quality providers, and how to get comprehensive data observability on Astro.
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