Optimizing Real-Time Data Processing in Azure Stream Analytics with .NET: Techniques and Best Practices

Abstract

In the era of big data, real-time data processing is crucial for businesses to derive actionable insights. Azure Stream Analytics, integrated with .NET, provides a robust platform for processing streaming data. This paper explores various tech- niques and best practices to optimize real-time data processing in Azure Stream Analytics using .NET. Through a comprehensive study, we identify performance bottlenecks and propose opti- mization strategies. Experimental results demonstrate significant improvements in processing efficiency and latency reduction. This research provides a practical guide for developers and engineers to enhance their real-time data processing capabilities using Azure Stream Analytics and .NET.