KQL bag_pack(): Master JSON Array Objects in Azure Data Explorer (Kusto Query Language) скачать в хорошем качестве

KQL bag_pack(): Master JSON Array Objects in Azure Data Explorer (Kusto Query Language)

Are you working with semi-structured data in Azure Data Explorer (ADX) or Microsoft Sentinel and need to build complex JSON structures? 🚀 The Kusto Query Language (KQL) offers powerful operators, and bag_pack() is your secret weapon for creating dynamic JSON objects and arrays directly within your queries. This video will guide you through the process of transforming your tabular data into flexible JSON array objects using bag_pack(). In this tutorial, you will learn how to: ✅ Generate JSON Array Objects: Understand the syntax and application of bag_pack() to create sophisticated JSON structures. ✅ Nest JSON Data: Learn to create nested JSON objects and arrays for more complex data representation. ✅ Dynamic Property Creation: Discover how to dynamically define property names and values within your JSON output. ✅ Combine with Other KQL Operators: See bag_pack() in action with other essential KQL operators to manipulate and enrich your data before JSON serialization. ✅ Real-World Use Cases: Explore practical examples, such as preparing data for APIs, custom visualizations, or integrating with other systems that consume JSON. If you're looking to elevate your KQL skills and effectively handle JSON data within Azure Data Explorer, this video is a must-watch! 🔗 Useful Links & Resources: KQL bag_pack() Documentation: https://learn.microsoft.com/en-us/kus... 👍 If this video helped you master JSON arrays in KQL, please hit the Like button and Subscribe for more Azure Data Explorer insights! #KQL #AzureDataExplorer #ADX #Kusto #JSON #DataEngineering #MicrosoftSentinel #DataExplorer #DataTransformation