In this post I want to share an interesting use case of data enrichment, using DMN with BPMN and other open standards. The typical usage pattern for data enrichment is the following: a complex data structure containing several attributes is provided as input; based on some computations and decision results, the original structure is enrichedRead more →
an experimental JBang catalog to quickly operate some KIE capabilities, such as DMN and FEEL evaluation on the Command Line!
I am very glad for the opportunity to have presented at IIBA this session on DMN patterns with Denis Gagné CEO & CTO of Trisotech! how business analysts can use the DMN open-standard to capture the requirements for operational business decisions some of the recurring basic patterns in modeling (Q&A, Scoring, Classification and Categorisation, Ranking..)Read more →
In this post I want to highlight all the integrations of the kie-dmn-validation module on several platforms. What is it? In a previous post, we have seen how the Drools DMN validation module was integrated specifically on the Kogito platform. As a short review, the kie-dmn-validation module offer several features for: validation of DMN modelRead more →
In this post I want to share an interesting use-case of Healthcare message routing, which we implemented using the Drools DMN Engine and Apache Camel, in order to route and dispatch Patient’s Admission-Discharge-Transfer message types to the required Kafka topics and therefore queuing the message to the appropriate sub-system. I believe it is both aRead more →
Modernising kie-server with new and more user-friendly DMN endpoints, better Swagger/OpenAPI documentation, easier JSON-based REST invocations; an intermediate step to help developers transitioning to service-oriented deployments such as a Kogito-based application.
I’ve recorded the following "developer notes" as a support medium to demonstrate the progress and the current integration of several Kogito features. As I believe this could be of interest to a wider audience to have a brief overview of the many capabilities of the Kogito platform for modeling and developing decision services with DMN,Read more →
On 2021 January 19th, Mario and myself will present at the perpetual DecisionCAMP monthly events! Since DecisionCAMP 2020 held virtually, the organizers have decided to institute a series of perpetual meetups, in addition to the annual conference; you can join the community following the instructions here. Event Title Kogito: Cloud-native Business Automation Event Abstract KogitoRead more →
In this article, we will describe some of the recent updates to the DMN Validation module (kie-dmn-validation) and how the migration to make use of the Executable Model enabled a number of use-cases, such as porting the functionality on the Kogito platform. Introduction The Drools DMN Engine provides static and semantic validation of DMN models:Read more →
This post summarises the current design of REST endpoints which are automatically generated and made available, when using DMN model assets in a Kogito application. This work was finalised as part of KOGITO-2840. Introduction For each DMN model in a Kogito application, a collection of REST endpoints is automatically code generated based on the contentRead more →
