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DESCRIPTION:Click for Latest Location Information: http://edw2017.dataversity.net/sessionPop.cfm?confid=103&proposalid=9803\nEven though conventional relational database management systems RDBMS have been the core of most business applications, the tabular structure of the RDBMS actually can impede certain types of advanced analyses. Data about entities is easily captured in the RDBMS, but logging the characteristics of the relationships between those entities is limited to clumsy methods. Fortunately, we are beginning to see alternatives to the relational model such as graph databases that enable greater flexibility for analyzing modeled entities in the context of their relationships.\nGraph databases and analytics systems, based on the mathematical graph abstraction for representing connectivity, rely on an alternative approach to data representation that captures information about entities and their attributes and elevates the relationships among the entities to be first-class objects. In this tutorial we introduce the concepts of graphs and graph database systems and guide the attendees through a process of mapping data sets into the graph paradigm using real-world examples. Attendees will learn about:\n\nGraph data models\nAssessing data and identifying entities and relationships\nGraph querying\nSimple graph analytics functions\nMore complex graph analytics\nTypes of vendor graph products
DTSTART:20170403T083000
SUMMARY:AM10: Introduction to Graph Data Management
DTEND:20170403T114459
LOCATION: See Description
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