Delivering better data with continuous Azure Data Factory observability
Organizations using Azure Data Factory (ADF) as their data pipeline orchestration and transformation tool can now leverage Databand’s observability and incident management capabilities to ensure the reliability and quality of their data.
Join Databand product experts Ryan Yackel and Eric Jones as they showcase Databand's no-code integration for continuous ADF observability and monitoring. In this webinar, you'll gain valuable insights on how Databand provides:
- End-to-end pipeline monitoring: collect metadata, metrics, and logs from all dependent systems.
- Trend analysis: build historical trends to proactively detect anomalies and alert on potential issues.
- Custom alerting: create custom alert types that go beyond native ADF alerting.
- Central logging: get a single pane of glass for metadata collection across tools (e.g., Databricks, Spark, Airflow)
Speakers
GTM Strategy, IBM Databand
Tehcnical Product Manager, IBM Databand
Delivering better data with continuous Azure Data Factory observability
Organizations using Azure Data Factory (ADF) as their data pipeline orchestration and transformation tool can now leverage Databand’s observability and incident management capabilities to ensure the reliability and quality of their data.
Join Databand product experts Ryan Yackel and Eric Jones as they showcase Databand's no-code integration for continuous ADF observability and monitoring. In this webinar, you'll gain valuable insights on how Databand provides:
- End-to-end pipeline monitoring: collect metadata, metrics, and logs from all dependent systems.
- Trend analysis: build historical trends to proactively detect anomalies and alert on potential issues.
- Custom alerting: create custom alert types that go beyond native ADF alerting.
- Central logging: get a single pane of glass for metadata collection across tools (e.g., Databricks, Spark, Airflow)
Speakers
GTM Strategy, IBM Databand
Tehcnical Product Manager, IBM Databand