Apache Iceberg - Periodical report example with NussknackerBuild data lake pipelines through a visual interface while maintaining Iceberg’s core features like schema evolution and time travel4d ago4d ago
Real-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 insightsJan 14Jan 14
Integrating machine learning models into business applicationsHow to simplify the integration of ML models into business applications, automate many complexities. A fraud detection solution exampleSep 18, 2024Sep 18, 2024
Next 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.Aug 19, 2024Aug 19, 2024
Streaming, Batch and Request-Response Data processing modesOrganising your data processing infrastructure around one type of processing would be great but it’s mostly impossibleJun 19, 2024Jun 19, 2024
How 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.May 20, 2024May 20, 2024
A guide to OpenAPI componentsData enrichment made easy! Provide an OpenAPI definition of your service, and Nussknacker will automatically build ready-to-use component.Apr 18, 2024Apr 18, 2024
SMS Artificially Inflated TrafficWith robust real-time processing capabilities we build complex decision diagrams that allows us to quickly identify potential threatsApr 16, 2024Apr 16, 2024
Introduction 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.Oct 16, 2023Oct 16, 2023
