ETL in Edge Computing Architectures
Author(s): Nishanth Reddy Mandala
Publication #: 2411039
Date of Publication: 07.06.2019
Country: USA
Pages: 1-8
Published In: Volume 5 Issue 3 June-2019
DOI: https://doi.org/10.5281/zenodo.14183884
Abstract
Edge computing has gained immense traction in recent years due to the proliferation of IoT devices and the exponential growth in data generation. Traditional ETL (Extract, Transform, Load) workflows, typically processed in centralized cloud infrastructures, face significant challenges in such dis- tributed environments. In edge computing, ETL operations must be closer to the data source to reduce latency and bandwidth usage. This paper explores the role of ETL in edge computing architectures, focusing on performance optimization, real-time data processing, and scalability. We provide a comprehensive analysis of the benefits and challenges of implementing ETL at the edge and propose strategies for effective ETL operations in resource-constrained environments.
Keywords: ETL, Edge Computing, IoT, Data Processing, Distributed Systems, Real-Time Analytics
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