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Data storage for analytics: stars and snowflakes - Linear Digressions

Avsnittet publicerades: 9/30/2019

If you’re a data scientist or data engineer thinking about how to store data for analytics uses, one of the early choices you’ll have to make (or live with, if someone else made it) is how to lay out the data in your data warehouse. There are a couple common organizational schemes that you’ll likely encounter, and that we cover in this episode: first is the famous star schema, followed by the also-famous snowflake schema.

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In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.