The bill grows faster than the data
Monthly cost keeps rising while data volume and user count stay flat. Nobody can say which workload is responsible.
I help companies already running on Databricks cut the bill, speed up pipelines and put governance in order – without hiring a senior engineer full-time.
Monthly cost keeps rising while data volume and user count stay flat. Nobody can say which workload is responsible.
The nightly run finishes later and later, and adding another source means another cluster instead of another query.
Unity Catalog is on, but permissions grew ad hoc for years. A question from an audit ends in a week of digging.