The Berlin startup, founded by two ex-Snowflake engineers, wants to be the platform where AI-generated data pipelines go to actually work. The hard part of building with AI is no longer getting the ...

Databricks launches Agent Bricks for streamlined AI agent development using enterprise data. Automate the transformation of high-level tasks into production-grade AI agents without manual tuning. At ...

In the early stages of building a data platform, it’s common to patch together ingestion workflows by hand — scripting one-off jobs, customizing transformations per customer and relying on tribal ...

Make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you ...

Databricks is a fascinating tool which boosts a plethora of features and capabilities. Amongst this depth of capabilities is the ability of parallel processing offered by the spark engine. However, ...

Posit, formerly RStudio, has released a beta of Positron, a ‘next generation’ data science development environment based on Visual Studio Code. The company best known for RStudio, the leading ...

This repository is a read-only mirror, published from Databricks' internal repository with each release. Pull requests are reviewed here but merged internally (see CONTRIBUTING.md). The Databricks SDK ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Databricks is a platform that provides tools to process cloud-based big data and machine learning. Having all of these in one place, promotes collaboration between teams in an organization, data ...