Using UDAs Overview
Introduction
Integrating a User-Defined Analytics (UDA) into a package involves organizing essential files, defining metadata, and configuring settings for deployment within kdb Insights.
Creating a UDA
To create a UDA:
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Define the purpose: Determine the specific problem or task that your UDA addresses.
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Develop the UDA: Write the UDA, ensuring your code is modular, efficient, and well-documented.
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Test the UDA: Validate the UDA with different datasets to ensure it performs as expected in various scenarios.
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Refine and optimize: Use test results to refine and optimize the UDA for performance and accuracy.
Adding to a Package
To package your UDA for deployment:
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Organize files: Arrange all necessary files, including the UDA script and dependencies, in a structured manner.
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Create a metadata file: Develop a manifest that lists the UDA and related components, including version information and metadata.
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Configure settings: Specify required configuration settings, such as environment variables, to ensure the UDA functions correctly after deployment.
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Test the package: Test the package in a local environment to confirm all components work together as expected.
Deploying
Deploy your UDA by following these steps:
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Validate the package: Ensure the UDA package is complete and all dependencies are correctly referenced.
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Deploy to staging: Test the UDA in a staging environment to confirm it integrates well with other components.
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Deploy to production: Once validated, deploy the UDA to the production environment.
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Verify deployment: After deployment, perform checks to confirm the UDA is functioning correctly and monitor its performance.