Databricks on Azure Optimization Assessment

TTEC Digital’s Databricks on Azure Optimization Assessment helps organizations maximize ROI and performance from their Azure Databricks deployments. Over a two-week engagement, our team conducts a thorough review of your metadata, cluster configurations, job execution patterns, cost allocation, security settings, and operational practices.

Leveraging proven methodologies and proprietary tools, we identify opportunities to reduce compute costs, right-size and auto-scale clusters, optimize Spark job performance, and strengthen security posture. Our assessment includes workload classification, code review, cost anomaly detection, and performance benchmarking.

Deliverables include a prioritized optimization roadmap, which covers cluster and workload tuning, governance best practices, autoscaling configurations, cost monitoring setups, and security enhancements (e.g., Unity Catalog, role-based access). Post-engagement, clients will implement a continuous improvement plan to maintain optimal performance and cost efficiency.

This assessment empowers your organization to reduce costs, improve job reliability, and ensure secure, compliant Databricks operations on Azure.