azure-kusto

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data. Use this skill immediately when the user asks to: Key Indicators: This skill enables querying and managing Azure Data Explorer (Kusto), a fast and highly scalable data exploration service optimized for log and telemetry data. Azure Data Explorer provides sub-second query performance on billions of records using the Kusto Query Language (KQL). Key capabilities: Fetch recent records from a table with simple filtering. Example KQL : Use for : Quick data inspection, recent event retrieval Summarize data by dimensions for insights and reporting. Example KQL : Use for : Event counting, distribution analysis, top-N queries Analyze data over time windows for trends and patterns. Example KQL : Use for : Performance monitoring, trend analysis, anomaly detection Combine multiple tables for cross-dataset analysis.