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


Nick Handel is the CEO and Co-Founder at Transform; a Series-A startup focused on making data accessible within an organization through metrics. Before Transform, Nick held a variety of roles at Branch International (Head of Data), Airbnb (Product Manager, Sr. Data Scientist), and Blackrock (Research Economist). At Airbnb, his work included launching Airbnb’s ML platform, leading growth strategies, and building the company’s data science team. He is an avid trail runner, climber, skier, and adventurer and spends much of his free time with his dog Huckleberry.

Open Data Science




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