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.
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.
The Hidden Benefits of Databricks Serverless
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.
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.
End The Data Engineering Nightmare with Metrics.
Learn how Databricks metrics views simplify SQL analytics by centralizing business rules and eliminating repetitive code. Complete tutorial with examples.
Bridge the Gap in Your Data Stack: Leverage Databricks BI/AI to Enhance Traditional BI
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.
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.
Databricks Compute Types: A Performance & Cost Analysis
Discover which Databricks compute type delivers the best value through real-world testing. Compare SQL Serverless, Classic, and Serverless performance across 19 intensive queries.