Data Modeling for APIs. Part 5: Modeling vs. Meta-Modeling

Data Modeling for APIs. Part 5: Modeling vs. Meta-Modeling

Recently i was involved the creation of a data model for a project in the Energy domain. As this was an international, multi-partner project with many stakeholders and respective components, a dillema emerged for debate: to model, or to meta-model? We use this occassion as an example to mention the pros and cons for each […]

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RDF on Hadoop and Schema on Read vs. Schema on Write

One of the challenges for any Big Data solution is dealing with scale, and RDF stores are no exception: going for billions of RDF triples (the equivalent of rows in the SQL world) is not trivial. Hadoop on the other hand is great at scaling out on commodity hardware, which is a feature every MPP […]

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SPARQL City and Benchmarks

We have written in the past about SPARQL, Hadoop and benchmarks. In this post, we take a look at a company that combines all of these subjects, SPARQL City, on the occasion of the results they released after subjecting their product, SPARQLVerse, to the SP2 benchmark. This year’s NoSQLNow conference was colocated with SemTechBiz, providing […]

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