Summary
In this module, you have learnt about Microsoft Fabric's Real-Time Intelligence, an end-to-end streaming solution for high-speed data analysis. The service is optimized for time-series data and supports automatic partitioning and indexing of any data format. You have also learnt about the core components of Real-Time Intelligence, including Event House, KQL Database, KQL Queryset, Real-Time Dashboards, and Eventstream. The module also covered the use of the Real-Time Hub as a gateway to control the flow of streaming data and the use of Kusto Query Language (KQL) for data analysis and extraction of insights.
The main takeaways from this module include understanding how Real-Time Intelligence can handle data of various sizes and formats. This understanding comes from different sources, making it suitable for solutions like IoT and log analytics in various industries. The module also provided practical knowledge on how to construct an event house with a KQL database and execute some KQL queries.
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