If you're not careful, the data engineers team is often overloaded with requests from the analysis team. With big data warehouse, more often than not, the fanc

If you're not careful, the data engineers team is often overloaded with requests from the analysis team. With big data warehouse, more often than not, the fancy dashboards would not run fast enough without a dedicate pipeline that materialize data before hand. Too many useless dashboards and your data team would not have enough manpower to do anything else other than operating the existing pipelines. As a result, new dashboards become slower than old dashboards due to lack of maintenance/optimization, and everyone complain about the poor performance.