In this hands-on workshop I'm joined by Ryan Yackel, CMO @ IBM Databand and Eric Jones who's a Senior Solution Architect @ IBM.
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They'll show multiple scenarios with Aiflow, Python and dbt where data observability helps data teams detect data incidents earlier, and resolve them faster.

Workshop Agenda:

• Introduction
• Why Data Observability?
• Airflow
  • Detecting data pipeline execution inicidents
  • Detecting pipeline latency anomalies
• Python: Profiling datasets for schema change alerts and logging custom metrics
• dbt: Alerting on failed data quality tests and dbt jobs
• Q&A with with your questions

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Live on YouTube and LinkedIn

• Join us live on YouTube and LinkedIn
• Recording will be available after the event

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Visit IBM Databand.ai

​https://www.ibm.com/products/databand​