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  • INFACore
  • All Products

Table of Contents

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  1. Preface
  2. Introducing INFACore SDK for Python
  3. Setting up the runtime environment
  4. Databricks integration with INFACore
  5. Databricks integration with INFACore using Databricks Connect
  6. Microsoft Fabric integration with INFACore
  7. Reusing user-defined functions
  8. Reusing data pipelines
  9. Troubleshooting using INFACore log files

INFACore SDK for Python

INFACore SDK for Python

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Procedure

Procedure

After you complete the prerequisites, install the INFACore SDK in the configured development environment. You need to specify the remote Secure Agent details and the Databricks ecosystem for intermediate storage.
After you configure these details, you can use Databricks Connect to connect to a remote Databricks cluster from your development environment to run INFACore jobs. You can perform various operations or access functionalities that INFACore offers within your development environment.
For information on available INFACore functionalities and how to use specific methods and parameters, see the INFACore SDK Reference for Python.
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