Let’s use one of these examples – the movie model – to walk through the process. The toolkit includes several UML examples that demonstrate the model-driven workflow process. In the suite of examples featured in the toolkit, I used two such tools: MagicDraw 18.5 and Eclipse Modeling Framework 2.x. The UML tool you select must support UML 2.x, must be able to export UML models to XML Metadata Interchange (XMI) 2.1, must be able to import UML profiles, and must support stereotypes and tagged values. To use it, you’ll need MarkLogic 9-0.3 or later plus your preferred third-party UML modeling tool. Model to a MarkLogic Entity Services model. My UML-to-Entitly-Services toolkit provides the ability to transform a UML data When I first played with it, I was surprised how little input I had to provide to reap a treasure chest of outputs. UML can feed into MarkLogic’s Entity Services, which is a shockingly low-effort means to model-driven data management in MarkLogic. I recommend using the Unified Modeling Language (UML), as it helps to visually depict your model for greater clarity. In my previous blog I explained why upfront high-level modeling is essential. Semaphore AI Technology Create and manage metadata and transform information into meaningful, actionable intelligence with Semaphore, our no-code metadata engine.A database, search engine, data integration tool, and more, all rolled into one. MarkLogic Server Unlock value from complex data and power new opportunities with MarkLogic Server. MarkLogic Data Platform Simplify your most complex data challenges, unlock value, and achieve data agility with the MarkLogic Data Platform.
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