🎄 🎅🏼 🎁 Main highlights of this release:
Start at the docker version or go to Github to see how can help with business decisions on streaming data
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.
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
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
Business users can create or change decisioninig algorithmss anytime, without any assistance from IT department.
We can help you customise and extend Nussknacker to meet your specific needs and then deploy and maintain it on your infrastructure.