Recently, there has been a surge in interest regarding the analysis of networks, especially as it pertains to cloud infrastructures. In addition to helping find information, topological properties also help identify pertinent sub-structures within the network. Graph properties are immensely useful when it comes to deciphering and using the information they contain to gain insight into the network. It is a network topology based on nodes and/or edges linked by branches. Graph theory is simply a mathematical theory based on the properties, attributes, and applications of graphs. Graph technology is based on graph theory. What is Graph Theory? What Are Its Implications For The Cloud? Graph technology makes it highly efficient to find crucial relationships and patterns in this ocean of diverse data. This is primarily due to the volume, velocity, and complexity surrounding the countless structured and unstructured data emanating from disparate sources. Graph technology is reaching an inflection point driven by modern data and data-driven business operations. Graph technology has a different perspective than most existing solutions by mapping complex datasets. Graph technology includes graph theory, graph analytics, and graph data management. Find out how graph technology may find previously unseen relationships in your data. Graph technology can help examine your data from a new perspective.
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