From Intent to Data Product: Pipelines, Agents & MCP

The challenge for most data teams isn’t a lack of ideas—it’s the time it takes to turn those ideas into something usable.

In this session, Steffen Bischoff, Chief Architect Data at Qlik, follows a single dataset from a core system through its entire journey to becoming a governed data product. You’ll see pipelines created by describing intent instead of writing code, versioned in Git, then curated, quality-checked, and documented with the help of specialized agents. From there, the data product is made available to the AI tool of your choice through the Qlik MCP Server.

The example uses insurance data, but the concepts apply across industries. Everything demonstrated is live and running—this is a technical deep dive, not a highlight reel.

Chapters:

0:00 - 10:00 - Intro - Revolutionizing Data Engineering Today - Part 1

10:00 - 21:02 - Declarative Pipelines - Part 2

21:02 - 26:38 - Data Products Agent - Part 3

26:38 - 31:44 - Data Quality Agent - Part 4

31:44 - 36:34 - Business Glossary Agent - Part 5

36:34 - 44:00 - Qlik MCP Server - Part 6

44:00 - 53:08 - Summary and Conclusion - Part 7