Preface
Introducing INFACore SDK for Python
- INFACore SDK Reference for Python
Setting up the runtime environment
- Configure a remote agent
- Configure a local agent
Databricks integration with INFACore
Databricks integration with INFACore using Databricks Connect
Microsoft Fabric integration with INFACore
Reusing user-defined functions
- UDF scope and requirements
Reusing data pipelines
- Mapping template scope and requirements
Troubleshooting using INFACore log files

INFACore SDK for Python

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Install Databricks Connect in your development environment

Install the Databricks Connect library in your development environment.

Create a development environment. Ensure that your Python environment is compatible with the cluster version.

For example, if you are using Anaconda, run the following code snippet to create a Databricks environment that is compatible with cluster version 3.x:

conda create --name databricks python=3.8.10

Activate the development environment.

Install the Databricks Connect library.

pip install -U databricks-connect==<databricks_connect_version>*

The Databricks Connect version number needs to be compatible with the Databricks cluster version you are working with.

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INFACore SDK for Python

INFACore SDK for Python

Install Databricks Connect in your development environment

Install Databricks Connect in your development environment