Azure Data Explorer

Azure Data Explorer is a fast, fully managed data analytics service designed for real-time analysis of large volumes of streaming data from sources such as applications, websites, and IoT devices. It enables users to ingest, store, and query massive datasets efficiently, supporting rapid exploration and insight generation for log and telemetry data.

The service allows users to create clusters and databases for organizing and managing data, with support for scalable ingestion and flexible querying. Data can be ingested from various sources, including Azure blobs and event streams, and queried using a powerful query language tailored for analytics workloads. Features such as materialized views, query result caching, and pre-aggregated summaries help optimize query performance and reduce scan costs, especially for repeated or dashboard-driven queries.

Azure Data Explorer provides comprehensive monitoring and insights into cluster performance, ingestion, and query operations. Users can analyze query duration, concurrent queries, ingestion latency, and cache usage, with customizable dashboards and workbooks for tracking key metrics. The platform supports advanced data exploration capabilities, including graph functions for analyzing relationships within data and customizable settings for sharing dashboards and queries securely.

With integration options for dataflow and visualization tools, Azure Data Explorer supports a wide range of analytics scenarios, from operational monitoring to trend analysis. The service is designed to handle high-volume data streams and deliver fast query responses, making it suitable for organizations seeking scalable, real-time analytics solutions.

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Website: azure.microsoft.com

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