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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Configure Databricks Connect

Configure Databricks Connect and test the set up in your development environment before you can use it with INFACore.

From the command prompt, run the following command:

databricks-connect configure

When prompted, provide the required information:

Databricks Host: <Databricks hostname>
*Databricks token: <Authentication token>
*Cluster ID* <Databricks cluster ID>
*Org ID: <Databricks ecosystem organization ID>
*Port: <Port number configured in the cluster Spark configuration>
Set new configuration values (leave input empty to accept default):

Test the Databricks Connect setup by running the following command:

databricks-connect test

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Table of Contents

INFACore SDK for Python

INFACore SDK for Python

Configure Databricks Connect

Configure Databricks Connect