Databricks
Databricks blog and Terraform provider releases.
- Databricks Go SDK Releases sdkmldatabricksengineer ·
Databricks SDK Go v0.139.0: Feature Engineering API & Pipeline Parameter Updates
This release of the Databricks SDK for Go introduces new methods for managing feature engineering streams and adds parameter fields to pipeline tasks. These updates enhance the SDK's capabilities for managing ML workflows and pipeline configurations, affecting engineers working with Databricks' machine learning and data pipeline services.
feature breaking - Databricks Go SDK Releases sdkmldatabricksengineer ·
Databricks SDK for Go v0.133.0 includes new IAM and Feature Engineering APIs
Databricks SDK for Go v0.133.0 introduces new methods for account and workspace-level IAM v2, expanding capabilities for managing workspace assignments. It also enhances Feature Engineering APIs with new fields for ML features and includes several other API additions and modifications. These changes provide developers with more granular control over IAM and feature management, though some updates may be breaking.
breaking feature patch - Databricks Java SDK Releases sdkmldatabricksengineer ·
Databricks SDK Java v0.108.0: API updates and breaking changes
This release of the Databricks SDK for Java introduces several API changes, including new fields for Feature objects and requests, and new enum values for serving workloads. It also includes breaking changes such as modified method signatures and removed fields, requiring users to update their integrations. These updates are relevant for developers interacting with Databricks features like Feature Engineering and Model Serving.
breaking feature patch