Data streams with ML inference - Nussknacker

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Introduction to Nussknacker

From our Blog

Real-Time Recommendations: Using Machine Learning in Clickstream Processing Pipeline

Nussknacker simplifies the integration of machine learning models into streaming data processes. Software teams can now build intelligent recommendation systems using Nussknacker, Snowplow, and MLflow.

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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 in a single 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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