Graph Databases by unknow

Author:unknow
Language: eng
Format: epub
Tags: COMPUTERS / Data Modeling & Design
Publisher: O’Reilly Media
Published: 2013-07-17T16:00:00+00:00

Graph database solutions complement existing network management and analysis tools. As with master data management, they can be used to bring together data from disparate inventory systems, providing a single view of the network and its consumers, from the smallest network element all the way to application and services and the customers who use them. A graph database representation of the network can also be used to enrich operational intelligence based on event correlations: whenever an event correlation engine [a Complex Event Processor, for example] infers a complex event from a stream of low-level network events, it can assess the impact of that event using the graph model, and thereafter trigger any necessary compensating or mitigating actions.

Today, graph databases are being successfully employed in the areas of telecommunications, network management and analysis, cloud platform management, data center and IT asset management, and network impact analysis, where they are reducing impact analysis and problem resolution times from days and hours down to minutes and seconds. Performance, flexibility in the face of changing network schemas, and fit for the domain are all important factors here.

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