Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

Learn how borderless Lakehouse federates queries across Databricks, Snowflake, and AWS Glue with Apache Iceberg for in-place conversational analytics.

Claude Dashboards shows every query and reaches Pro users. No step for reading agreed company metrics is documented. OpenAI's agent, launched 28 days earlier, s ...

To access Databricks REST APIs, you must authenticate. This tutorial shows you how to use the Databricks SQL Statement Execution API 2.0 to run SQL statements from Databricks SQL warehouses. To view ...

Querying data is the foundational step for performing nearly all data-driven tasks in Azure Databricks. Regardless of the language or tool used, workloads start by defining a query against a table or ...

When Databricks set out to raise money in the summer of 2026, it had a number in mind: $1 billion. What happened next explains more about the state of enterprise AI than the funding round itself does.

The new agentic code converter uses Genie Code-powered agents to analyze, translate, validate, and refine SQL workloads moving from Teradata, Snowflake, Redshift, and SQL Server. Databricks is adding ...

databricks-training/ │ ├── README.md (this file - main documentation) │ ├── week1/ │ ├── day1/ │ │ ├── README.md (day-specific learning notes) │ │ ├── queries.sql (practice queries) │ │ ├── ...

Over the past few years, database and analytics vendors have hopped on a bandwagon that may take us all to a destination where common data queries are free from the constraints of the specialist query ...

From Reactive to Proactive: Follow our journey from incidents firefighting to a Continuous Integration‑based scoring mechanism that gives an early signal of database efficiency in the development loop ...