The hidden price of piecing things togetherRunning separate databases and systems for OLTP, OLAP and data lake storage might feel manageable — until it’s not:Dashboards lag behind reality because batch jobs fail overnight. Operational reporting suffers when data is not up-to-date or unified.Models train on stale data because the pipeline didn’t ...
