When a data platform team relies heavily on Databricks SQL Warehouses, cost spikes and performance regressions are somewhat of a given. But understanding why they happen and what to fix remains one of the hardest problems. Our client, a data-driven organization with growing Databricks usage, had strong observability tools in place. However, when costs increased […]
Achieving a 15% decrease in carbon footprint and energy consumption costs by creating an optimization algorithm for charging electric vehicles.
Helping the fintech startup better predict their cash flow, using advanced models that improved purchase accuracy and reduced forecasting errors.