December 2025
Intermediate to advanced
576 pages
14h 22m
English
book
Graph Theory for Computer Science
by Manikandan Rajagopal, Ramkumar Sivasakthivel, Joseph Varghese Kureethara, Niranjanamurthy M., Biswadip Basu Mallik
Content preview from Graph Theory for Computer Science
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10Graph Databases Unveiling Insights in Big Data Analytics
V. Balajishanmugam1*, S. Sumathi2, J. Deepika3 and P. Sindhuja4
1Department of Artificial Intelligence and Machine Learning, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India
2Department of Artificial Intelligence and Data Science, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India
3Department of Information Security, Vellore Institute of Technology, Vellore, Tamil Nadu, India
4Department of Computer Science and Engineering, United Institute of Technology, Coimbatore, Tamil Nadu, India
Abstract
In the rapidly developing field of big data analytics, graph databases have become essential. In-depth discussion of big data analytics and the critical role that graph databases play in revealing insights and stimulating creativity are provided in this chapter. It starts by examining the need for studying large, complex information and then moves through the potential and difficulties that come with big data, emphasizing the value of advanced analytics methods. Moving on to the topic of graph databases, basic ideas like nodes, edges, and characteristics are explained along with a comparison showing their distinct benefits over conventional database technology.
In addition to discussing data models, storage strategies, and scalability issues, the chapter delves deeper into the architecture of graph databases and offers advice on how to model data most effectively while guaranteeing peak performance. ...
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