Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Tower, founded by ex-Snowflake engineers, raises €5.5m to turn AI-generated data pipelines into reliable production systems.

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...

When connecting with the databricks / unity iceberg REST catalog to write data using pyiceberg, commits fail at .commit_transaction() if the transaction contains several snapshots: ...