Use parallelization in single and multi-table reports

[echatzikyriakidis]

Problem Description

Using Quality Report is very slow when running it on large datasets either for single or multi-table.

Expected behavior

Since each column or column pair metric is independent and can be computed in parallel can't we use multiprocessing or multithreading to allow parallelization? For Column Shapes, Column Pair Trends, etc.

Could anyone help on this? @frances-h I have seen that lately you changed the library, can you redirect me to the most appropriate person for that?

Thank you!