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Tag Archives: RDF

The Year of the Graph Newsletter: September 2018

Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune. Not bad for a typical summer vacation month such as August. This edition of the Year […]

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The Year of the Graph Newsletter: April 2018

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Graph databases are the hottest thing around right now. Whether you are just getting started, or you are in one of the 51% of organizations already using them, this is the place to get your news and analysis. The popularity of graph databases has gone through the roof almost overnight it seems. Everything points this way: […]

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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

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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

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Part 1: Seting the stage | Part 2: REST and JSON | Part 3: SOAP and XML | Part 4: Linked Data and SPARQL | Part 5: Modeling vs. Meta-Modeling 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 […]

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A small step for Impala, a big step for SQL-on-Hadoop. More to come, hopefully.

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Recently Cloudera published the results of a benchmark performed internally, comparing its own SQL-on-Hadoop implementation (Impala) against a carefully selected competition composed of Hive and an undisclosed RDBMS and showing that Impala outperforms both. As Gigaom’s Derrick Harris was quick to point out, beating Hive is not something to write home about as Hive is […]

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