Resources and insights
Our Blog
Explore insights and practical tips on mastering Databricks Data Intelligence Platform and the full spectrum of today's modern data ecosystem.
Request Access Through Unity Catalog
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.
Make Joins on Geographical Data: Spatial Support in Databricks
Databricks Runtime 17.1's new geospatial support makes it easy to join geographical data using geography and geometry datatypes. This blog shows you how to map delivery zones, calculate distances, and optimize routes using spatial functions.
Dashboards for Nerds: DataFrame Plotting in Databricks
Discover Spark native plotting in Databricks - create charts directly from DataFrames without pandas conversion. Perfect for data engineers.
Grant individual permission to secrets read in Unity Catalog
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.
Query Your Lakehouse In Under 1 ms.: From OLAP to OLTP
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
Why Financial Institutions Are Ditching Vendor Solutions for Databricks
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.
Recursive CTE: The beauty of SQL Self-Referencing Queries
Recursive CTEs in SQL: queries that can reference themselves to solve complex problems iteratively. From generating sequences to traversing network graphs and hierarchical data, learn how to eliminate manual looping with SQL solutions.
Add External Data Sources to Unity Catalog Lineage
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.
AI_PARSE_DOCUMENT() Get PDF Invoices Into The Database
Learn how to automate invoice processing with Databricks' AI_PARSE_DOCUMENT() function. Step-by-step guide to convert PDF invoices into structured database records using SQL and Agent Bricks. Includes cost analysis and real examples.
Managed Iceberg Tables
Learn when to choose Apache Iceberg over Delta tables in Databricks. Complete guide covering manifest files, CDC limitations, liquid partitioning, and table properties with practical examples.
Data Intelligence for All: 9 Ways Databricks Just Redefined the Future of Data
Discover how Databricks' 9 major announcements at Summit 2025 are democratizing AI with Agent Bricks, Lakebase, free edition, and more game-changing innovations.
Stop ELT Headaches: Why We Partner with Fivetran + Databricks
Discover how SunnyData overcame ELT challenges by partnering with Fivetran and Databricks, creating reliable data pipelines that eliminate late-night fixes and accelerate insights.
PostgreSQL to Databricks Migration: A Simpler Path to the Lakehouse
Discover a complete guide to PostgreSQL to Databricks migration, including analysis, design, development, and deployment phases. Learn how to transform stored procedures, manage data transfer, and leverage the new SQL Scripting feature for a simplified lakehouse journey.
The Chaos of Data: How Fragmentation is Stalling Innovation
Discover how data fragmentation across multiple platforms creates costly silos and slows decision-making. Learn why Databricks offers the unified solution modern enterprises need.
Databricks: An Insider’s Perspective with Franco Patano
Josue Brogan interviews Databrick’s Product Owner Franco Patano to discuss Databricks current state and future.