Postgresql, Redshift, Etl, Transformation, Data Warehouse.
use all the temporal data types as dimensions in the data warehouse, we need to break them up into smaller usable units of — dates and seconds of day — so that they can be queried against date dimension and time dimension. The date dimension table will contain the date_key in the format yyyymmdd as