Jamie Knowles

Jamie Knowles, Product Director for ER/Studio with decades in data modeling and architecture, explains why meaning should drive designs. He talks about building shared semantic models, avoiding schema sprawl, and evolving architecture alongside delivery. He also covers governance, practical modeling techniques, and the double-edged role of generative AI in drafting models without human-approved ontologies.

Ryan Hirsch, product marketing lead with a data warehousing background, and Jamie Knowles, product director and enterprise data modeling expert, discuss ER/Studio’s role in creating shared semantic models. They cover translating logical designs to code, preventing semantic drift, integrating governance, collaboration features like Team Server, and new AI-assisted modeling and semantic exports.

Jamie Knowles, Product Director at ER Studio and expert in data architecture, joins the discussion to unravel the complexities of Data Product Delivery. He explains how data analytics is moving toward business-centric data products, emphasizing their benefits like reusability and better governance. Knowles highlights the shift from chaotic data environments to structured quality data products, stressing the importance of early governance principles in development. He also emphasizes breaking down silos and fostering collaboration for effective delivery.