RDBMS & Graphs: Relational vs. Graph Data Modeling
By Bryce Merkl Sasaki | February 29, 2016
In some regards, graph databases are like the next generation of relational databases, but with first class support for “relationships,” or those implicit connections indicated via foreign keys in traditional relational databases. Each node (entity or attribute) in a native… Read more →
Keywords: ACID • data center • data modeling • denormalization • entity-relationship diagram • foreign key • graph database • rdbms • relational database • sql
Graph Databases in the Enterprise: Network & IT Operations
By Bryce Merkl Sasaki | October 26, 2015
Graph databases are, therefore, an excellent fit for modeling, storing and querying network and IT operational data no matter which side of the firewall your business is on – whether it’s a communications network or a data center.
Keywords: data center • graph database • impact analysis • IT asset management. • it operations • Network Management • network operations • operational intelligence • telecommunications • use case
Interview: Solve Network Management Problems with Neo4j
By Neo4j Community | July 8, 2015
[This article is excerpted from a white paper by EMA and is used with permission.] Discovering, capturing and making sense of complex interdependencies is central to more effective IT network management, and it’s also a critical part of running the… Read more →
Keywords: application infrastructure • data center • graph database • high availability • it infrastructure • linux • neo4j • Network Management • relational join • Scalability
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