The Nussknacker Blog·Jan 17, 2025Apache Iceberg - Periodical report example with NussknackerBuild data lake pipelines through a visual interface while maintaining Iceberg’s core features like schema evolution and time travel
The Nussknacker Blog·Jan 14, 2025Real-Time Recommendations with Machine Learning in Clickstream Processing PipelineWe show how Nussknacker, with Snowplow, a popular open-source event tracking system, can transform raw event data into actionable insightsA response icon1A response icon1
The Nussknacker Blog·Sep 18, 2024Integrating machine learning models into business applicationsHow to simplify the integration of ML models into business applications, automate many complexities. A fraud detection solution example
The Nussknacker Blog·Aug 19, 2024Next Best Action recommendations with Request Response processing: simplifiedBusiness scenarios can become increasingly complex, causing many problems for users and administrators. Our solution to simlify the system.
The Nussknacker Blog·Jun 19, 2024Streaming, Batch and Request-Response Data processing modesOrganising your data processing infrastructure around one type of processing would be great but it’s mostly impossible
The Nussknacker Blog·May 20, 2024How to use Nussknacker together with Kafka & Schema Registry — IoT exampleNussknacker effortlessly integrates with Apache Kafka, including its seamless compatibility with Kafka’s Schema Registry — with an example.
The Nussknacker Blog·Apr 18, 2024A guide to OpenAPI componentsData enrichment made easy! Provide an OpenAPI definition of your service, and Nussknacker will automatically build ready-to-use component.
The Nussknacker Blog·Apr 16, 2024SMS Artificially Inflated TrafficWith robust real-time processing capabilities we build complex decision diagrams that allows us to quickly identify potential threats
The Nussknacker Blog·Oct 16, 2023Introduction to integrating Google Firebase with Kafka Connect and NussknackerNussknacker can be used to inject additional business logic for the Firebase events and is easily integrated with Firebase subscriptions.
