There is a bit of a confusion between Data Warehouse vs Data Lake or ETL vs ELT. I hear that Data Warehouses are not used anymore, that they are replaced by Data Lakes altogether, but is that true? And why do we need Data Warehouses anyway? I will go into that as well as the definitions of both pluses explain the differences between them.
Data Warehouse vs Data Lake
Data Warehouse definition
A Data Warehouse, in short DWH and also known as an Enterprise Data Warehouse (EDW), is the traditional way of collecting data as we do since 31 years. The DWH serves the purpose of being the data integration from many different sources, the single point of truth and the data management meaning cleaning, historize and data joined together. It provides greater executive insight into corporate performance with management Dashboards, Reports or Ad-Hoc Analyses.
Various types of business data are analysed with Data Warehouses. The need for it often…
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