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Are there best practices for time series database designs?

I am creating a couple of bigger database tables with at least hundreds of millions of observations, but growing. Some tables are by minute, some by milliseconds. timestamps are not necessarily unique.

Should I create separate year, month, or date and time columns? Is one unique datetime column enough? At what size would you partition the tables?

Raw data is in csv.

Currently I aim for postgres and duckdb. Does timescaledb make a significant difference?

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