Implement Databricks Unity Catalog access requests to streamline data permissions. Step-by-step guide covering BROWSE privileges, automated workflows, and ITSM integrations for better data governance.

Implement granular secret access control in Unity Catalog that goes beyond traditional Key Vault-level permissions. This advanced approach uses Unity Catalog UDFs with service credentials to create secret-specific access controls, allowing you to grant users access to individual secrets rather than entire Key Vaults.

Databricks Lakehouse excels at analytical workloads but struggles with single-row lookups that customer-facing applications demand. This blog shows how to solve the OLAP vs OLTP dilemma by adding PostgreSQL-based OLTP capabilities to your existing Lakehouse architecture

How 7 Databricks accelerators are helping banks and financial institutions replace expensive vendor solutions with custom in-house data applications for AML, fraud detection, customer analytics, and compliance.

CI/CD pipelines can pass all jobs yet still deploy broken functionality. This blog covers smoke testing, regression testing, and critical validation strategies: especially useful for data projects where data quality is as important as code quality.

Enhance your Unity Catalog lineage by incorporating external data sources such as Kafka streams and IoT devices. This blog covers both UI-based and programmatic methods for creating complete data lineage visibility in your Databricks environment.

Most Databricks cost comparisons focus only on compute pricing, missing two critical factors that can save thousands monthly. Learn how serverless waives private link transfer fees (up to $10/TB) and provides persistent remote caching that survives warehouse restarts - hidden benefits that often justify the serverless premium entirely.

Discover how SunnyData overcame ELT challenges by partnering with Fivetran and Databricks, creating reliable data pipelines that eliminate late-night fixes and accelerate insights.

Bridge the gap in your data architecture by strategically combining Databricks BI/AI with traditional business intelligence tools. Learn how to reduce licensing costs, improve dashboard performance, and implement a hybrid approach that leverages the best of both worlds. This practical guide shows you when to use native Databricks capabilities versus tools like Power BI for optimal cost-efficiency and performance.

Josue Brogan interviews Databrick’s Product Owner Franco Patano to discuss Databricks current state and future.