Data streams with ML inference - Nussknacker

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Introduction to Nussknacker

From our Blog

1.18 release

With the latest 1.18 release we have added new Activity Panels to replace Versions, Comments and Attachments panels. ☑️Now you can browse all scenario activities on one chronological list.

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Using Nussknacker with Apache Iceberg: Periodical report example

Nussknacker now supports Flink catalogs. This means you can use it with Apache Iceberg for tasks like data ingestion, transformation, aggregation, enrichment, and creating business logic. This blog post will show you how to use Nussknacker and Apache Iceberg together for a real-world example

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ML models inference in fraud detection

How to simplify the integration of ML models into business applications, automate many of the technical complexities, and support advanced techniques like A/B testing and ensemble models. A fraud detection example

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