![]() ![]() By supporting KQL natively with IntelliSense, users can benefit from optimized experience for fast and rich functionalities on a large amount of real-time streaming datasets in Azure Data Explorer.įor more interactive data exploration, users can visualize the resultset from the KQL query in SandDance.Ĭombined with the Kusto kernel addition to Notebook in Azure Data Studio, it makes it easy to create reproducible analyses in notebooks. ![]() Users working with heterogeneous data sources can now do data exploration and data analysis from SQL and Big Data Clusters to Azure Data Explorer without breaking their flow. Efficiency in data exploration and data analysis Here are four key benefits of using Kusto (KQL) extension in Azure Data Studio: 1. Users can now connect and browse their Azure Data Explorer clusters and databases, write and run KQL, as well as author notebooks with Kusto kernel, all equipped with IntelliSense.īy enabling native Kusto (KQL) experiences in Azure Data Studio, users such as data engineers, data scientists, or data analysts can now quickly discover insights as well as identify trends and anomalies against a massive amount of data stored in Azure Data Explorer. This native Kusto (KQL) support brings another modern data experience to Azure Data Studio, a cross-platform client – for Windows, macOS, and Linux. The Kusto (KQL) extension in Azure Data Studio is now available in preview. ![]()
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