Metadata contention in Unity Catalog can occur in high-throughput Databricks environments, slowing down user queries and impacting performance across the platform. Our Finops strategy shifts left on performance. However, we have found scenarios where clients are still experiencing query slowdowns intermittently and even on optimized queries. As our client’s lakehouse footprint grows, we are seeing […]
Posts Tagged ‘FinOps for Databricks’
Optimizing Costs and Performance in Databricks: A FinOps Approach
As organizations increasingly rely on Databricks for big data processing and analytics, managing costs and optimizing performance become crucial for maximizing ROI. A FinOps strategy tailored to Databricks can help teams strike the right balance between cost control and efficient resource utilization. Below, we outline key practices in cluster management, data management, query optimization, coding, […]