Atul O. Thakare, Omprakash W. Tembhurne, Abhijeet R. Thakare, Soora Narasimha Reddy
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引用次数: 0
Abstract
Because of the massive utilization of the world wide web and the drastic use of electronic gadgets to access the online world, there is an exponential growth in the information produced by these hardware gadgets. The data produced by different sources, such as smart transportation, healthcare, and e-commerce, are large, complex, and heterogeneous. Therefore, storing and querying this data, coined "Big Data," is challenging. This paper compares relational databases with a few of the popular NoSQL databases. The performance of various databases in executing join queries, filter queries, and aggregate queries on large datasets are compared on a single node and multinode clusters. The experimental results demonstrate the suitability of NoSQL databases for Big Data Analytics and for supporting large userbase interactive web applications.
期刊介绍：
The International Journal of Electrical and Computer Engineering Systems publishes original research in the form of full papers, case studies, reviews and surveys. It covers theory and application of electrical and computer engineering, synergy of computer systems and computational methods with electrical and electronic systems, as well as interdisciplinary research. Power systems Renewable electricity production Power electronics Electrical drives Industrial electronics Communication systems Advanced modulation techniques RFID devices and systems Signal and data processing Image processing Multimedia systems Microelectronics Instrumentation and measurement Control systems Robotics Modeling and simulation Modern computer architectures Computer networks Embedded systems High-performance computing Engineering education Parallel and distributed computer systems Human-computer systems Intelligent systems Multi-agent and holonic systems Real-time systems Software engineering Internet and web applications and systems Applications of computer systems in engineering and related disciplines Mathematical models of engineering systems Engineering management.
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