strong>Scalable Data Ingestion and Analytics: Leveraging Azure Data Explorer for IoT Performance Optimization
Authors:-Seetaiah B, Technology Manager
Abstract-The proliferation of IoT devices has led to a significant increase in telemetry data, creating challenges in data ingestion and processing using traditional SQL databases. As device counts grow, SQL database performance degrades, resulting in slower data handling and inefficient query responses. This paper explores the implementation of Azure Data Explorer (ADX), a fully managed data service, to overcome these challenges. By leveraging ADX, the system achieved faster data streaming, improved performance, and greater scalability. This case study presents a detailed analysis of the migration process, performance improvements, and future scalability considerations.
