Christopher Schmidt loads some data:
In the era of big data, efficiently parsing and analyzing JSON data is critical for gaining actionable insights. Leveraging Kusto, a powerful query engine developed by Microsoft, enhances the efficiency of handling JSON data, making it simpler and faster to derive meaningful patterns and trends. Perhaps more importantly, Kusto’s ability to easily parse simple or nested JSON makes it easier then ever to extract meaningful insights from this data. The purpose of this blog post is to walk through ways that JSON data can be loaded into Eventhouse in Microsoft Fabric, where you can then leverage Kusto’s powerful capabilities for this. I’ve tried this a few different ways, and the below approach is the fastest, most efficient low-code way to ingest the data into the Eventhouse. As JSON inherently supports different schemas in a single file, the expectation here is that we have a json file with varying schemas within a single file, and we would like to load this into our Eventhouse for efficient parsing with KQL.
Read on for the process.
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