Alizaan Lv2Posted 05 Jun 2023 18:35
  
Edge computing complements cloud-based big data processing by bringing computational resources and data processing closer to the source of data generation. This approach reduces latency, bandwidth usage, and reliance on centralized cloud infrastructure. Edge devices, such as IoT devices, sensors, and gateways, collect and process data locally, performing real-time analytics and filtering before sending relevant data to the cloud for further processing, storage, and long-term analysis. Edge computing enhances the efficiency of big data processing by enabling faster decision-making, reducing network congestion, and preserving data privacy. It allows organizations to leverage the benefits of both edge and cloud computing to handle the challenges of real-time data processing, edge analytics, and efficient utilization of cloud resources for deeper insights and long-term analysis.

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