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How to start with KQL Oct 2021

This post has been republished via RSS; it originally appeared at: Azure Data Explorer articles.

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.

here is a short check list on how to start your journey with KQL, Kusto Query Language.

 

  1. Courses
    1. KQL basic and advance free on-line courses, start with the first ~20 operators that will be used 80% of your time and move forward to advanced capabilities with Scan, Geospatial, Time Series and others.  
      1. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer
      2. Microsoft Azure Data Explorer - Advanced KQL
  2. Exploration Cluster
    try it yourselves with a preloaded cluster 
    1. Help Cluster: https://aka.ms/adx.try
  3. Usage flow & Docs 
    1. Kusto Query Overview 
    2. Query (from SQL to KQL, Query best practices
    3. Samples for Kusto queries 
    4. Tutorial: Kusto Queries
  4. Videos 
    1. YouTube Channel KQL playlist
  5. Community
    the product group is waiting for your questions and requests in one of the below 
    1. Twitter: @AzDataExplorer
    2. Tech Community Blog: https://aka.ms/adx.blog
    3. LinkedIn
    4. YouTube 
    5. Stack Overflow: Tags: Kusto, Azure Data Explorer, KQL 

      https://aka.ms/adx.sof

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