Integrations

Recognizing the modern enterprise data stack comprises a vast array of services and tools, YData Fabric is augmented by a growing ecosystem of partners and integrations, acting both upstream and downstream in the lifecycle of an AI project.

The list below is a non-exhaustive compilation of MLOps, Data and Cloud Providers which smoothly integrate with Fabric:

• DVC: Enhancing data versioning

• Databricks: Enhancing feature/data engineering before improving with YData

  • 📚 Follow Databricks step-by-step tutorials
  • 👨‍💻 Check code example in YData Academy

• Snowflake: Enhancing feature/data engineering before improving with YData

  • 📚 Follow Snowflake step-by-step tutorials
  • 👨‍💻 Check code example in YData Academy

• H2O: Framework available through code and Fabric Labs (H2O Flow)

• Algorithmia: Integration for easy model deployment

  • 👨‍💻 Check code example in YData Academy

• UbiOps: Integration for easy model deployment

  • 👨‍💻 Check code example in YData Academy

• Great Expectations: Data profiling is integrated with Great Expectations

• Azure ML: Integration for easy model deployment

  • 👨‍💻 Check code example in YData Academy

• AWS SageMaker: Integration for easy model deployment

  • 👨‍💻 Check code example in YData Academy

• Google Vertex AI: Integration for easy model deployment

Up-to-date examples

👉 For the most up-to-date examples and ready-to-use recipes of how to integrate with YData Fabric with some services above, check out the Integrations section of YData’s Academy.