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The Impact of Edge Computing on Retail Data Engineering

Author(s) Ravi Kiran Koppichetti
Country United States
Abstract The retail sector is presently undergoing a digital transformation that is driven by the imperative for real-time data processing, personalized customer experiences, and enhanced operational efficiency. Edge computing, which involves processing data in proximity to its source as opposed to centralized cloud servers, is emerging as a critical enabler of this transformation. This paper investigates the substantial impact of edge computing on retail data engineering, with a focus on its ability to enable real-time analytics, improve customer experiences, and optimize supply chain operations. Furthermore, it examines the challenges associated with the implementation of edge computing in the retail sector, including issues related to data security, infrastructure costs, and scalability. Lastly, this paper explores potential future directions, such as the integration of artificial intelligence and machine learning at the edge, the effects of 5G connectivity, and the feasibility of utilizing blockchain for data security. Through a comprehensive examination of this topic, this paper aims to elucidate how edge computing is transforming the retail landscape.
Keywords Edge Computing, Cloud Data Warehousing, Retail, Scalability, Security, Data Management, Compliance, Data Integration, Cloud Computing, Data Infrastructure, Business Intelligence, Big Data, Cloud Storage, Data Security, Data Protection, Data Privacy, Architecture, Global Data Warehousing, Cloud Solutions, Public Cloud, Private Cloud, Data Governance, Data Compliance, Cloud Computing Strategies, Cloud Storage Optimization
Field Engineering
Published In Volume 2, Issue 8, August 2021
Published On 2021-08-03
Cite This The Impact of Edge Computing on Retail Data Engineering - Ravi Kiran Koppichetti - IJLRP Volume 2, Issue 8, August 2021. DOI 10.5281/zenodo.14945771
DOI https://doi.org/10.5281/zenodo.14945771
Short DOI https://doi.org/g86pfr
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