Implement Real-Time Intelligence with Microsoft Fabric (DP-603)

This DP-603 Course provides a comprehensive introduction to real-time intelligence within Microsoft Fabric. Participants will learn how to source streaming data, utilize Eventstream for real-time data processing, query data using KQL, and create dynamic real-time dashboards. Implement Real-Time Intelligence with Microsoft Fabric (DP-603) Benefits In this course, you will learn how to: Source various streaming data into Microsoft Fabric. Utilize Microsoft Fabric's Eventstream for real-time data analysis. Query databases within Microsoft Fabric using KQL. Create and customize real-time dashboards for analytics and visualization. Prerequisites Basic familiarity with the Azure portal and resource groups. Understanding of streaming data concepts. No specific exam preparation provided in this course. DP-603 Course Outline Get started with Real-Time Analytics in Microsoft Fabric Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Analytics capabilities of Microsoft Fabric to ingest, query, and process streams of data. Learning objectives In this module, you'll learn how to: Describe Real-Time Analytics in Microsoft Fabric Create Real-Time Analytics databases and tables Use KQL to query tables Use real time eventstreams in Microsoft Fabric This module is an introduction to the Microsoft Fabric Eventstream within Real-Time Analytics (RTA) Learning objectives Establish source and destinations in Eventstream View the data in-flight in eventstream items Capture, transform, and route data using Eventstream Query data in a KQL database in Microsoft Fabric This module provides a brief introduction to KQL (Kusto Query Language) queries using Querysets and the major differences between KQL and T-SQL when using Querysets. Learning objectives Use basic syntax and of Kusto Query Language (KQL). Understand the basics of the Queryset canvas. Describe how to execute T-SQL queries in the Queryset canvas. Describe how to convert T-SQL queries into KQL queries.