- Azure Data Explorer
Azure Data Explorer
- Kusto Query Language (KQL) overview - Kusto | Microsoft Learn
Kusto Query Language (KQL) is a powerful tool for exploring your data and discovering patterns, identifying anomalies and outliers, creating statistical modeling, and more KQL is a simple yet powerful language to query structured, semi-structured, and unstructured data
- GitHub - microsoft Kusto-Query-Language: Kusto Query Language is a . . .
Kusto Query Language is a simple yet powerful language to query structured, semi-structured, and unstructured data It assumes a relational data model of tables and columns with a minimal set of data types
- An Introduction To Kusto Query Language (KQL) - SQLServerCentral
Kusto Query Language is used to query large datasets in Azure Besides Azure Data Explorer, it is commonly used to query data from other services like Azure Application Insights, Azure Log
- Kusto query ingestion (set, append, replace) - Kusto | Microsoft Learn
Learn how to use the set, append, set-or-append, and set-or-replace commands to ingest data from a query
- Kusto Query Language (KQL): What is it? - Pluralsight
Kusto Query Language, or KQL, is a read-only request language used to write queries for Azure Data Explorer (ADX), Azure Monitor Log Analytics, Azure Sentinel, and more
- What is Kusto Query Language? - techielass. com
Kusto Query Language (KQL) is an invaluable tool for querying and analysing lots of different types of data in Azure Its read-only nature ensures that data remains intact, making it both a safe and reliable option for exploration and troubleshooting
- Analyze data in Azure Data Explorer using Kusto Query Language (KQL . . .
By 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
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