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 ...

The recent increase in the popularity of property graph databases is well-founded, as they fulfill a real need. But as usage continues to ramp up, the limitations of traditional property graph systems ...

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 ...

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 ...

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 ...

Organizations are struggling with a fundamental challenge – there’s far more data than they can handle. Sure, there’s a shared vision to analyze structured and unstructured data in support of better ...

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 ...

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 ...

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Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...