By Aayushi Mittal | July 16, 2018
Discover how graph database technology is helping create the next generation of service assurance for telecome and enterprise networks.
Amy Hodler, Analytics & AI Program Manager of Neo4j talking about Communication Service Providers (CSPs) and how CSPs need a complete view of their network and its myriad interdependencies to drive real-time decisions and predict the impact of changes on the user experience. A native graph approach makes sense of complex networks and drives innovation, bringing new services from prototype to production.
Neo4j, the world’s most relied upon graph platform, naturally captures relationships between data and therefore easily models network and service complexity. This emphasis on connections is unlike relational databases (RDBMS) that require careful schema development and complex joins to map multiple levels of relationships, which are then inflexible when adding new data.
Neo4j is specifically designed to store and process such multi-dimensional associations.
Service assurance requires performance and predictability, such as monitoring real-time end-user experience for automated responses. Because of its native graph storage, Neo4j thrives in querying such complexity at scale, easily outperforming RDBMS and other NoSQL data stores.
Advantages for IT and Network Operators Using Neo4j is that Network administrators, system administrators and application operators are able to readily recognize and understand the actual impact of maintenance activities and avoid surprising users downstream. They rapidly diagnose failures by correlating and tracing user complaints back to the application and infrastructure or cloud service where they are hosted.
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Keywords: communication service providers graph data model Graph Databases graph query language graphconnect IT network operators native graph neo4j optimizing network services service assurance