![]() You can use these queries to build near real-time dashboards and alerts and connect operational analytics data with the rest of the data analytics platform.ĭemocratizing data analytics - Data Explorer democratizes self-service, big data analytics with the intuitive Kusto Query Language (KQL) that provides the expressiveness and power of SQL with the simplicity of Excel. With Data Explorer, all raw data is available immediately, allowing you to run high-performance and high-concurrency queries on your streaming and persistent data. No index maintenance - There's no need for maintenance tasks to optimize data for query performance and no need for index maintenance. No complex data modeling - With Data Explorer, there's no need to build complex data models and no need for complex scripting to transform data before it's consumed. ![]() Data can be ingested from sources such as Azure Event Hubs, Kafka, Azure Data Lake, open source agents such as Fluentd/Fluent Bit, and a wide variety of cloud and on-premises data sources. What makes Azure Synapse Data Explorer unique?Įasy ingestion - Data Explorer offers built-in integrations for no-code/low-code, high-throughput data ingestion, and caching data from real-time sources.
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