Denormalization: A Brief History and Its Role in the Modern Data Stack


This talk will be a mixture of history, technical context, an outline of the state of the world, and a call for action for the data community to produce better shared logic between data tools. It will begin by providing historical context on the evolution of data modeling and definitions of normalization and denormalization. Then, the talk will outline the challenges associated with denormalization both in the data warehouse and in downstream tools like BI Tools. Join this session to discuss the following:

The history and role of denormalization in the modern data stack

The practical and philosophical definitions of denormalization

The future of shared logic between data tools and the possibilities it will enable


James Mayfield is the COO and Co-Founder at Transform; a Series-A startup focused on making data accessible within an organization through metrics. Before Transform, James spent 7 years at Facebook, primarily as a Data Analyst and Product Manager, then moved to Airbnb where he was the Director of Product Management for data and infrastructure. At Airbnb, his work included rebuilding the entire data infrastructure stack and helping the company make more data informed decisions. He is an avid fisherman and devoted father to three young boys.

Open Data Science




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