Modern Data Warehousing
With the arrival of cloud computing, data no longer needs to be processed on local servers with limited scalability. This has allowed the paradigm of Extract, Transform & Load (ETL) to shift more toward Extract, Load & Transform (ELT), which is arguably simpler to work with due to all data being extracted and loaded into a data warehouse, where it is then subsequently transformed. Whereas, the former option would be to have multiple staging environments to transform and load data before finally landing into a data warehouse.
The following pages go into more detail on modern data warehousing, the considerations and problems that have occurred in industry.
If you would rather get straight into it and begin setting up your warehouse and filestore, then click here .
Updated about 2 months ago