Data-driven decisions are built on a strong culture of data quality.
Building a culture of data quality that lasts is rare. We share the mental models, metrics, and strategies you should use to launch a proactive data quality system.
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Proactive data monitoring: A strategy for end-to-end data observability
This guide explores:
- How leveraging data diffs, shift-left testing, and upstream monitoring helps prevent data quality issues before they start
- The four key monitors that ensure comprehensive data quality coverage
- A practical approach to implementing end-to-end data observability
Thursday, October 24th 2024 - 1:00 PM (EDT)
Unified, Proactive, and Powerful
Join our CEO, Gleb Mezhanskiy, and Monitors Product Manager, Nick Carchedi for this 45 minute session. There you'll learn:
- Why data monitoring is crucial to your data team's success.
- How Datafold approaches monitors differently.
- A brief demo on how to configure monitors for your team.
Request a 30-minute demo
Our product expert will guide you through our demo to show you how to automate testing for every part of your workflow.
See data diffing in real time
Data stack integration
Discuss pricing and features
Get answers to all your questions
