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Which approach is used to implement the data warehouse?

Data warehouses typically use either the extract, transform, load (ETL) or the extract, load, transform (ELT) data integration method. ETL and ELT are two of the most common methods of collecting data from multiple sources and storing it in a data warehouse.

It is also worth saying that the idea is not new. There are many solutions for automating the process of data warehouse development, check https://www.oxagile.com/article/data-warehouse-implementation-components-steps-and-benefits/. But all similar software have one common drawback - they are complex and, in fact, repeat the logic of ETL-tools (tools for developing data loading processes), differing only in design and additional functions.

If your project involves large databases, then you immediately need to indicate this point when drawing up the development budget. As far as I know, you can rent cloud power to reduce the load on the Internet portal. However, all these nuances need to be clarified with the direct developer.

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