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View Code? Open in Web Editor NEWETL tool for performing mostly SQL-based data transformation
License: MIT License
ETL tool for performing mostly SQL-based data transformation
License: MIT License
In classical RDBM-systems data is written to existing tables. New table creation might be behind cumbersome user rights management processes.
To extend the usage scope of sqltask it would be good to have a following feature:
It might be that this is already inside sqltask and it is just me and my limited capabilities in sqlalchemy :)
When developing ETL jobs, re-retrieving expensive OLAP queries and lookups can be quite time consuming and cause unnecessary billing on cloud DWs. Being able to cache queries based on the connection string + select statement would drastically improve performance and limit unnecessary DW load.
Start with mypy linting, then add first round of unit and integration tests.
Examples have great code example but user instructions on how to run example are missing. Create markdowns on how-to-run-stuff.
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