![]() ![]() ![]() ![]() Use the following questions to help decide if Azure Data Explorer is right for your use case: These services include Azure Monitor logs, Application Insights, Time Series Insights, and Microsoft Defender for Endpoint. Azure Data Explorer is scalable, secure, robust, and enterprise-ready, and is useful for log analytics, time series analytics, IoT, and general-purpose exploratory analytics.Īzure Data Explorer capabilities are extended by other services built on its query language: Kusto Query Language (KQL). Tables are stored within databases, and a cluster can manage multiple databases. Azure Data Explorer uses a traditional relational model, organizing data into tables with strongly-typed schemas. The Azure Data Explorer toolbox gives you an end-to-end solution for data ingestion, query, visualization, and management.īy analyzing structured, semi-structured, and unstructured data across time series, and by using Machine Learning, Azure Data Explorer makes it simple to extract key insights, spot patterns and trends, and create forecasting models. Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real time. ![]()
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