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In today's data-driven world, unreliable pipelines lead to broken dashboards, late reports, and untrustworthy analytics. Data Engineers face increasing pressure to ensure their data pipelines deliver accurate, timely, and high-quality data. Yet, with the growing complexity of the modern data stack, traditional monitoring methods fall short—reactive alerts and fragmented oversight simply don't cut it anymore.
Join us for a deep dive into the next evolution of Data Observability, where we'll explore how modern data teams are proactively ensuring pipeline reliability, detecting anomalies before failures occur, and integrating observability into their DataOps workflows. We'll introduce Astro Observe, Astronomer's data observability solution, and show how it empowers teams to track data assets, set SLAs, and optimize data products with full lineage tracking, proactive alerting, AI-generated root cause analysis and built-in Snowflake cost insights.
What to Expect:
- Why Data Observability is essential for modern data teams
- How observability is a crucial piece of an orchestration-first DataOps strategy
- How to overcome the challenges of fragmented monitoring
- A live walkthrough of Astro Observe's capabilities
- Get your questions answered by Astronomer experts
Whether you're struggling with late data deliveries and missed SLAs, broken workflows, or a lack of visibility into pipeline health, this webinar will equip you with the strategies and tools needed to build trust in your data and streamline operations.
Register Now to attend the webinar Best Practices for Data Observability and Reliable Apache Airflow® Pipelines.
Don't miss this live event on Thursday, March 27, 11 AM PT / 2 PM ET.
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