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From Cost Spikes to Root Cause in Minutes: Building Clarity on Top of Databricks with dCat
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 […]
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