Update Data Aggregation with Go Routines #3
Description
Data Aggregation is currently a single-threaded process and while smaller accounts finish within minutes. Basic testing on larger organizations with a large number of workspaces/runs, results in an extremely slow process.
Ideally, we should be able to parallelize this to some degree with an appropriate rate limiter and channels to reduce the output.