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 travelJan 171Jan 171
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, 20241Sep 18, 20241
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, 20242Jun 19, 20242
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, 20235Oct 16, 20235
How to build a bridge between IT and the business teams?The business team won’t need to spend so much time thinking about optimal process design before they pass their requirements to the IT teamSep 28, 2023Sep 28, 2023
Fraud Detection Solution for Telecommunications ProviderThe Fraud Team can easily develop complex detection scenarios; because this can be done with low development effortSep 4, 2023Sep 4, 2023
Real time marketing for a Telecom Service ProviderNussknacker’s utility has been robustly demonstrated as the scope of implementation has been significantly expandedMay 24, 2023May 24, 2023
Combine streaming and historical data for real-time decisioningNussknacker not only makes it possible to react to current behaviour using all the prior knowledge, but makes it possible for…May 10, 2023May 10, 2023
What is wrong with low-code tools in streaming?The success of spreadsheets is proof that non-professionals are not afraid of coding — just the constructs they use must be easier to learnMar 27, 2023Mar 27, 2023
Translating business case into streaming conceptsLow-code solution for enrichments and time windows in marketing promotionMar 3, 2023Mar 3, 2023
Take Nussknacker to the next level with configuration onlyNussknacker is a low-code tool that is also highly extensible — it allows the implementation of custom components, and custom runtime…Feb 15, 2023Feb 15, 2023
How to handle quickly evolving Elasticsearch documents in NussknackerDecision rules on data structures that evolve quickly and Nussknacker’s schema evolution featureFeb 7, 2023Feb 7, 2023
Speed up your OpenBanking decision scenarios with NussknackerLow-code and open data standards allow fast Time To Market and bring business experts closer to faster iterations and innovationsJan 30, 2023Jan 30, 2023
Stream Designer and Nussknacker Designer comparisonStream Designer and Nussknacker diverge in target user groups but both make data stream processing more ubiquitous & democratisedJan 23, 2023Jan 23, 2023
