Nov. 7, 2022, midnight | Tobias Macey

Data Engineering Podcast www.dataengineeringpodcast.com

Summary


A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. He …

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