Queries and analyzes big data in Azure Data Explorer using Kusto Query Language (KQL) for logs, telemetry, and time series insights.
This skill empowers Claude to interact directly with Azure Data Explorer (ADX) clusters and databases to perform high-performance analytics on massive datasets. It enables users to discover database schemas, execute complex KQL queries, and analyze results for logs, IoT telemetry, and security events. By bridging the gap between natural language and Kusto Query Language, it facilitates real-time monitoring, rapid troubleshooting, and advanced anomaly detection within the Azure ecosystem.
主要功能
01109 GitHub stars
02Analyze logs and telemetry data with built-in KQL best practices
03Execute high-performance KQL queries on billions of records
04Perform advanced time series analysis and anomaly detection
05Discover cluster schemas and database table structures
06Manage and list ADX clusters and databases across subscriptions
使用场景
01Monitoring IoT device telemetry to identify trends and detect anomalies
02Troubleshooting application performance by analyzing real-time error logs and traces
03Correlating security events across multiple datasets for rapid root cause analysis
