Multi-model Data Management for a Complex World
Real-world problems are messy. In many cases, you'll need to represent more than one kind of data to represent a problem. In the past, this meant forcing data into a single model, or wiring up multiple tools resulting in a complex and brittle architecture. By deploying a multi-model database, data can be represented in its most natural form, allowing you to focus on the most important problem: how can you use that data to solve your business' problems? In this workshop, we'll experience storing documents and semantic triples together in MarkLogic to see how combining two models brings a richer understanding than either would alone.
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