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Graph Visualization Using the NoSQL Database

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dc.contributor.author Joshi, Kailash Raj
dc.description.abstract The relational database has been a dominant approach for organizing data into formally organized tables for years. Recently, with massive amounts of data being generated, a new type of database called NoSQL has emerged. NoSQL seeks to overcome the drawbacks of SQL, such as fixed schemas, JOIN operations and addresses the scalability problems. In this paper we have reviewed emerging technology called NoSQL and compared it with the traditional relational database. In the first part of the paper, we review the pros and cons of both the technologies and in the second, we tried to address issues involving data visualization. Characteristics such as flexibility, low latency, scalability, schema-less, fast query, and performance are some major advantages of a NoSQL database. To test the properties of NoSQL database, we have developed a graph-visualization application based on Neo4j, a graph database, along with accompanying technologies such as MapReduce and the REST web service. en_US
dc.title Graph Visualization Using the NoSQL Database en_US
dc.date.accessioned 2013-06-14T16:01:29Z
dc.date.available 2013-06-14T16:01:29Z
dc.date.issued 2013-06-14
dc.identifier.uri http://hdl.handle.net/10365/22972
dc.date 2013 en_US
dc.thesis.degree Master of Science en_US
dc.contributor.advisor Nygard, Kendall
dc.subject.course Master of Science / Software Engineering, College of Science and Mathematics, 2013. en_US

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