Data Engineering Challenges

Damian and Kyle discuss the complexities of maintaining accurate data for machine learning models in production, touching on issues like periodic extracts, immutability, and reference data. The conversation delves into the importance of forward-only data and the difficulties of ensuring data accuracy over time.