From Rest to Motion: Bringing data quality into your pipelines

Bad data leads to costly rework, compliance risks, and unreliable insights. With Ataccama Data Quality Gates, you can stop it before it spreads.

Data pipelines move fast but without real-time validation, bad data slips through, driving costly rework and eroding trust.

In this on-demand session, discover Ataccama Data Quality Gates, a Python library that brings governed, business-aligned checks directly into your pipelines. Extend data quality from “at rest” to “in motion” and stop bad data before it spreads.

You’ll learn how to:

1. Validate data streams in real time
2. Cut remediation costs and speed up insights
3. Integrate quality checks into Snowflake and dbt

Keep your analytics, AI, and apps powered by only trusted, validated data.