Your data quality strategy shouldn't be "wait for someone to notice."
Bad data doesn't announce itself. It shows up as a Slack message from your VP at 7am asking why the numbers look wrong. Then it's hours of detective work — tracing the issue back through transformations, schema changes, and upstream sources. By the time you've found the root cause, half the morning is gone and three downstream dashboards have been serving bad numbers.
The problem isn't that you don't care about data quality — it's that building and maintaining quality checks across every pipeline, every transformation, and every data source doesn't scale. Not manually, anyway.
In this 45-minute hands-on lab, you'll build an agentic data quality system that handles the full lifecycle — from building data quality tests to continuous monitoring to automated remediation. Not a single agent doing a single trick, but a system that keeps your data trustworthy while you focus on building.
End-to-end agentic data quality
Define and configure quality standards
Leverage agents to build data quality tests into every step of your data pipelines, from ingestion to delivery.
Continuous pipeline observability
Set up agents that watch your pipeline health in real time — tracking schema changes, data volumes, freshness, and patterns across your data ecosystem.
Contextual real-time alerting
Notify the right team with the right context and configure your system to take action to proactively resolve problems.
Built for data teams done playing whack-a-mole
If you've ever wished your pipelines could watch themselves, explain what went wrong, and fix it without you — this is your session. No prior experience with AI agents required.
What you need to get started
Learn from the experts
.png)
Ayush is the Lead Field Data Engineer at Ascend.io, where he helps data teams leverage AI to deliver trusted data faster. As an expert in agentic data engineering, Ayush works directly with customers across industries — from healthcare, to retail, to finance — to implement production data pipelines using AI.
Stop firefighting. Start preventing.
Join us for a 45-minute hands-on session where you'll build an agentic data quality system that monitors, detects, responds, and resolves — so you don't have to.
Register Now — It's Free.jpg)
.png)
.avif)
