Guide: data modeling in the data warehouse

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As the old adage says, one of the hardest part of computer science is naming things.

To some extent, the same could be said for data modeling. Developing extensible taxonomies, especially as your data set grows in size and complexity, is really hard work.

In this guide, we dig into practical tips for data engineers working with data in warehouses, including:

Naming

Data structures

Unique IDs

Treating data as a product

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