Masterclass: Data Quality in an Agentic World with Mark Freeman
In a traditional analytical setup, poor data quality leads to a poor chart. In an agentic world, poor data quality leads to an autonomous system taking the wrong action in real time. To build "Production Grade" AI, we must rethink how we define, trace, and enforce data quality across the entire stack, from the transactional database to the application code.
Start your Helsinki Data Week with a bang and join Mark Freeman, co-author of the O’Reilly book Data Contracts, for a rigorous, three-hour masterclass on understanding and building the Data Quality required for the next generation of AI.
Why Attend?
Redefining Quality: What does "quality" actually mean when the primary consumer of your data is an AI agent rather than a human analyst?
End-to-End Tracing: Learn how to trace data quality lineage from analytical warehouses back to the source transactional databases.
Quality in the Code: Explore how data quality manifests (and fails) within application code and how to catch errors before they propagate.
The Agentic Shift: Understand how AI agents change the stakes of data reliability and why traditional batch-processing checks are no longer enough.
Telemetry for AI: How to implement advanced telemetry to monitor the "health" of the data your agents are consuming in real-time.
Implementing Data Contracts: A practical guide to using data contracts to enforce interfaces, ensure schema stability, and guarantee reliability across the AI lifecycle.
Meet Your Instructor
Mark Freeman is a leading expert in data reliability and data engineering. As the co-author of the definitive O'Reilly book, Data Contracts: Developing Production Grade Pipelines at Scale, he has helped shape the industry standard for how modern organizations manage data interfaces. Mark is known for his ability to translate complex engineering challenges into scalable, real-world solutions.
Registration Details
Limited Capacity: This is a hands-on workshop with group work and direct feedback. Seats are strictly limited to ensure an optimal learning environment.
Separate Admission: Please note that this Masterclass is a standalone event. Admission is 250€ and must be purchased separately from your Helsinki Data Week Opening Event ticket.
Target Audience: Designed for Data Engineers, Analytics Engineers, Platform Engineers, and Data Reliability practitioners.
Cancellation notice: The organizers reserve the right to cancel this event if the minimum ticket sales threshold is not met. In the event of such a cancellation, you will receive a refund.
Stop fighting fires and start building contracts. Secure your spot today!