Implementing Real Time Analytics with Microsoft Fabric (DP-603)
- Código del Curso M-DP603
- Duración 1 Día
Otros Métodos de Impartición
Método de Impartición
Este curso está disponible en los siguientes formatos:
-
Cerrado
Cerrado
-
Clase de calendario
Aprendizaje tradicional en el aula
-
Aprendizaje Virtual
Aprendizaje virtual
Solicitar este curso en un formato de entrega diferente.
Temario
Parte superiorIn this learning path, the student is exposed to various ways to:
Source streaming data sources into Microsoft Fabric.
Use real time Eventstream in Microsoft Fabric.
Query data in a KQL database in Microsoft Fabric.
Create real time dashboards in Microsoft Fabric.
Company Events
These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.
Calendario
Parte superiorDirigido a
Parte superiorStudents wishing to Implement Real-Time Analytics with Microsoft Fabric
Objetivos del Curso
Parte superiorStudents will learn to,
- Get started with Real-Time Analytics in Microsoft Fabric
- Use real time eventstreams in Microsoft Fabric
- Query data in a KQL database in Microsoft Fabric
Contenido
Parte superiorModule 1: Get started with Real-Time Analytics in Microsoft Fabric
- Describe Real-Time Analytics in Microsoft Fabric
- Create Real-Time Analytics databases and tables
- Use KQL to query tables
Module 2: Use real time eventstreams in Microsoft Fabric
- Establish source and destinations in Eventstream
- View the data in-flight in eventstream items
- Capture, transform, and route data using Eventstream
Module 3: Query data in a KQL database in Microsoft Fabric
- 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.
Pre-requisitos
Parte superiorThe student should be able to:
- Log in to the Azure portal.
- Explain and create resource groups.
- Understand the concept of streaming data.