Deletion Vectors will be enabled by default in Delta Live Tables (DLTs) for materialized views and streaming tables starting April 28, 2025. Predictive Optimization for DLT maintenance will also be enabled by default. This could provide both cost savings and performance improvements. Our Databricks Practice holds FinOps as a core architectural tenet, but sometimes compliance […]
Posts Tagged ‘FinOps’
From FinOps Bean Counting to Value Harvesting: The Rise of Unit Economics
Applying FinOps concepts to your cloud consumption is not new. It’s often treated as an IT hygiene task: necessary but not strategic. And while cost optimization and waste reduction are worthy efforts, it’s all too common to see these activities fall victim to higher daily priorities. When they are in focus, it’s often attempted by […]
How Automatic Liquid Clustering Supports Databricks FinOps at Scale
Perficient has a FinOps mindset with Databricks, so the Automatic Liquid Clustering announcement grabbed my attention. I’ve mentioned Liquid Clustering before when discussing the advantages of Unity Catalog beyond governance use cases. Unity Catalog: come for the data governance, stay for the predictive optimization. I am usually a fan of being able to tune the dials […]
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, […]