SDK
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DataForge SDK for Custom Processing
SDK OverviewThe DataForge SDK allows you to define your own Python or Scala code in a notebook and attach the ...
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Custom Connections
Custom Connections allow you to store sensitive parameters and pass them into Custom Ingest and Parse notebook...
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Setting up DataForge with Snowflake Custom Notebook
Ingestion, Parse, and Post Output can all be configured to run on your custom created notebooks by using the C...
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Setting up Databricks Compute to run Custom Notebooks
Before creating any Custom Notebooks for DataForge, it is best to setup the Databricks environment. This page...
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Setting Up DataForge Compute Configuration with Databricks Custom Notebook
Ingestion, Parse, and Post Output can all be configured to run on your custom created notebooks by using the C...
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Using Multiple Languages in a Databricks Notebook
Working With Multiple LanguagesYou will need to use a DataForge SDK supported language to run custom processes...