Best Practices for Managing Databricks Costs & Performance
Introduction Databricks is a powerful platform used by many companies to work with big data and build machine learning models. It offers tools for storing, cleaning, analyzing, and using data—all in one place. But as helpful as Databricks is, it can become expensive or slow if not used the right way. That’s why it’s important to understand how to manage both costs and performance . Doing this well means your jobs run faster, your bills stay lower, and your team works more efficiently. In this blog, we’ll walk through simple best practices that can help you get the most out of Databricks without wasting money or time. Agenda Picking the right cluster size for your work Using auto-scaling and auto-termination Organizing jobs to avoid waste Monitoring your usage with cost dashboards Keeping your data clean and compact Real-world tip from a retail company Conclusion 1. Picking the...