Abstract
Various discoveries achieved by applying Apache Spark in medical administrations foundations are acceptable for a considerable data plan. A part of the educational or research-based social protection organizations are either trying new things with big data or using it in front-line research expeditions. In the medical industry, there is an almost unlimited amount of data that is being created. The Electronic Medical Record (EMR) alone gathers a vast quantity of information. The goal of using new trends and technologies such as the IoT, big data and others to analyze real-time beacon-based sensor data is to help these shopping mall-based retail shops or any other physical retail store compete with online shopping in terms of customized sales promotion, customer relations, different types of analysis such as predictive, diagnostic, and preventive using customer-sales data, and other aspects. We tested a number of beacon-based sensor systems for identifying neighboring mobile phones. The approach that has been proposed Apache Spark Streaming was utilized for various studies, with sample Amazon sales data being used as input.
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Arulkumar, V., Sridhar, S., Kalpana, G., Guruprakash, K.S. (2022). Real-Time Big Data Analytics for Improving Sales in the Retail Industry via the Use of Internet of Things Beacons. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 444. Springer, Singapore. https://doi.org/10.1007/978-981-19-2500-9_8
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