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User Defined Analytics Overview

This page provides an overview of User Defined Analytics (UDAs) and their role within the kdb Insights environment.

User Defined Analytics (UDAs) enable you to define new APIs that are callable through the Service Gateway (SG). UDAs augment the standard set of APIs available in the kdb Insights system with application logic specific to your business needs.

Why use UDAs?

UDAs are a valuable tool within kdb Insights because they allow you to:

  • Tailor solutions - Address specific analytical needs that the standard APIs may not fully support.

  • Integrate complex logic - Implement complex business logic within your analytics workflows, ensuring that your analysis meets precise requirements.

  • Streamline processes - Automate and simplify repetitive analytical tasks by using them within reusable UDAs.

  • Performance optimization - By tailoring UDAs to your data and use cases, you can achieve optimal performance in data processing and analysis.

  • Reusability - Once created, UDAs can be reused across multiple projects, saving time and ensuring consistency in your analytical processes.

Getting started

  • UDA configuration - Learn how to build a UDA, incorporating your custom logic and testing it within the kdb Insights environment.

  • UDA quickstart - Build your first UDA.