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Talk to Fabric Eventhouse using Azure AI Agents – Natural Language to KQL Learn how to talk to your KQL DB Let's build a “Natural Language to KQL” app One of the main use cases I am frequently asked about is providing users with the capability to query data intuitively and effectively, regardless of their technical background
Empowering Security Copilot with NL2KQL: Transforming Natural Language . . . By leveraging NL2KQL, a framework that translates natural language into corresponding KQL queries, Security Copilot makes querying in KQL as intuitive as a conversation In this article, we’ll explore the story behind NL2KQL, its potential to transform security operations, and why it matters for the future of cybersecurity
Kusto, Azure Data Explorer, KQL, Azure Log Analytics, Azure Sentinel, KQL stands for Kusto Query Language It's the language used to query the Azure Data Explorer, Azure Defenders, Azure log databases: Azure Monitor Logs, Azure Monitor Application Insights and others Kusto databases are perfect for massive amounts of streamed data like application logs and telemetry database
powershell - KQL Query to retrieve Azure Subscription Name, Resource . . . Using KQL in Azure Resource Graph is actually an ideal way to retrieve this information You can run the KQL queries from the Azure Portal using Resource Graph Explorer then export (or use PowerShell with the Search-AzGraph cmdlet and pipe to Export-Csv) Resource Graph allows queries to the ARM graph backend using KQL, which is an extremely powerful and preferred method to access Azure