In this video, David Mizell from YarcData discusses what analysis scenerios call for a graph database vs. a triple store relational database. In order to find the unknown, you often have to know the ...
RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph databases ...
There’s a lot of ways companies are trying to store and analyze data today, but one of the most compelling involves graph analytics. MarkLogic, which supports a variant of the graph database known as ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...
Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...
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At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...
Relational databases (RDBMSs) have been the dominant data management tool for 30 years. They proved to be a good solution for the capture and management of structured data and fairly reasonable for ...
Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...
This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an RDF store database? RDF stores enable modeling, representation and ...