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 incubated within the Unity Catalog Automated Migrations project for more than a year and are now available for other projects to simplify integration testing with Databricks.

this is awesome!

The Databricks SDK for Python includes functionality to accelerate development with Python for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client is robust and handles failures on different levels by performing intelligent retries.

why everyone likes JavaScript so much? :)

Databricks Terraform Provider has just crossed 10 million downloads! If you use Databricks and haven't tried it yet - it's the best time to do it.

you don't?...

This time we’ll cover something boring and automatable — API calls to a predefined service.

Would you like to automate your project's dependency and security patch management with little effort? I’ve written a blog about how you can do that!

i'd just apply intelligent file naming strategy, based on timestamps and urls. keep in mind, that a folder should not contain more than 1000 files or other folders, otherwise it's slow to list.

so does this essentially allow querying pages for table data?