Graph Algorithms, Neural Networks, and Graph Databases. The Year of the Graph Newsletter, September 2019
One of the world’s top AI venues shows that using graphs to enhance machine learning, and vice versa, is what many sophisticated organizations are doing today. New developments in graph algorithms and analytics, and the latest graph database releases, many of which incorporate graph algorithms and machine learning features. Read the full article on the […]
Read More →Here we go: The Year of the Graph Newsletter Vol. 1, April 2018
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: […]
Read More →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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