DMN COOKBOOK

Decision Model and Notation (DMN), the new standard for business decision modeling, is changing the methodology of business rules projects. , While its Decision Requirements Diagrams (DRDs) and decision tables can be used to create business requirements handed off to programmers in a traditional rule language, DMN is actually a complete rule language shared by business and IT. , Its various boxed expressions and FEEL expression language allow programmers and technically oriented modelers to create complex decision models directly executable on a DMN engine such as Drools/Red Hat Decision Manager. ,DMN Cookbook explains how the DMN language works and how it differs from traditional rule languages. , It goes on to provide over 50 recipes illustrating DMN solutions to common problems facing decision logic developers, from manipulating strings, ,numbers, date/times, and lists to table queries and joins, iteration, recursion, and set operations. , It also shows how to incorporate Java static and non-static methods, deploy DMN models as REST services, and invoke those services from a variety of clients, including Java, a BPMN process, and Microsoft Flow. , Extended examples cover data validation, ,handling logic variations using either a central registry, ,dynamic composition, or static composition, ,a DMN-enhanced blockchain Smart Contract, ,and state chart-based pattern recognition. ,Each recipe includes a problem statement, a complete illustrated solution including DRD, boxed expressions, FEEL code and test case data, and discussion of the issues involved. , ,Some examples illustrate multiple approaches