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DESCRIPTION:Click for Latest Location Information: http://nosql2015.dataversity.net/sessionPop.cfm?confid=90&proposalid=7631\nThe value of connected data is well understood by the NoSQL community. In recent years we have witnessed an explosion of interest in datastores optimized for connected data, not least graph databases.\nAs new use cases develop, more and more applications built on graph data find their way into the workplace. As a result, enterprise architects, analysts and data scientist need to communicate their graphs to a non-technical audience of business users. \nThis is where visualization plays a vital role.\nGraph visualization tools give end users rapid insight into complex connected data without technical knowledge. They can make decisions, perform graph analysis and query graph databases without the need to learn obscure query languages.\nIncreasingly too, these advanced tools not only help answer the ‘who / why / how’ questions, but also the where and when.\nThis tutorial will give an overview of the different approaches and techniques for visualizing graphs, as well as a summary of the different tools available.\nQuestions covered include:\nWhich tools are available for visualizing graph data?\nWhat functionality should I look for?\nHow can I use graph visualization to answer where and when questions?  \nHow should I go about my graph visualization project?
DTSTART:20150820T083000
SUMMARY:AM6: A Developer’s Guide to Visualizing Graph Data
DTEND:20150820T114459
LOCATION: See Description
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