Automating File Loading Into SQL Server With Python And SQL - Part 1
Loading files into databases are not exactly exciting work. It can be tedious and boring work. Often times it is constrained by tools like SSIS that freak out when a small change is made.
This is one of the core roles of BI and data engineering teams. They need to load files from operational databases into data warehouses. They do this by developing pipelines that process and transform data.
One problem we see is teams have multiple file types, data spec versions, and data providers. Each of which requires a different pipeline just to load into their raw database.
This forces teams to manage 10, 20 maybe even 50 smaller pipelines that are all subject to the change of the data providers. In addition, each new data provider requires an entirely new pipeline to be developed. It also requires managing infrastructure around each pipeline in order to log and track data pipelines statuses. This can quickly become very difficult to manage and tedious to build.
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https://github.com/bAcheron/basic_etl
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