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

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

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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Data modeling for APIs. Part 4: Linked Data and SPARQL

Data modeling for APIs. Part 4: Linked Data and SPARQL

In the 4th part of this series of posts we look at a different way of data modeling for APIs, one that is based on Linked Data standards. First, some background and terminology. The terms that define the associated technologies have been the subject of debate, as well as the technologies themselves. In essence, these […]

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