This comprehensive course equips professionals with the essential skills necessary to implement real-time analytics solutions using Microsoft Fabric. Participants will develop hands-on experience with Microsoft Fabric's real-time intelligence capabilities, mastering data ingestion, querying, and stream processing techniques. The curriculum covers critical topics including KQL query development, event stream configuration, and real-time dashboard creation, making it invaluable for those seeking to enhance their data analytics expertise and capabilities.
Upon course completion, professionals will be able to create and manage sophisticated real-time data solutions, leveraging the advanced capabilities of the Microsoft Fabric platform. The practical, hands-on exercises integrated throughout ensure that learners can apply their knowledge immediately in real-world scenarios, strengthening their ability to monitor, analyze, and respond to data insights as they occur in real-time.
Target Audience:
This course is ideal for data professionals, business analysts, and IT specialists responsible for managing and analyzing data streams. It is also well-suited for data engineers and developers who want to expand their skills in real-time data processing and dashboard development using the Microsoft Fabric platform.
Prerequisites:
- Access and navigate the Azure portal effectively
- Explain the concept of resource groups and create them within Azure
- Understand the fundamental concepts of streaming data and its applications
Course Structure and Topics
Module 1: Get Started with Data Warehouses in Microsoft Fabric
- Describe the capabilities and features of Microsoft Fabric Real-Time Intelligence
- Understand KQL database structures and table organization
- Describe the Microsoft Fabric Real-Time hub and its role in data management
- Write and execute queries using KQL
- Exercise: Explore real-time intelligence features in Fabric
Module 2: Use Real-Time Event Streams in Microsoft Fabric
- Understand the main components of event streaming architecture
- Configure and set up event streams for data ingestion
- Route event stream data to appropriate destinations
- Exercise: Load data into a KQL database using Microsoft Fabric event streams
Module 3: Query Data in Real-Time with KQL
- Get started with KQL queries and basic syntax
- Apply KQL best practices for performance and efficiency
- Explore advanced KQL features for complex analysis
- Exercise: Query a KQL database in Microsoft Fabric
Module 4: Create Real-Time Dashboards with Microsoft Fabric
- Get started with real-time dashboard creation and design
- Explore advanced dashboard features and customization options
- Follow real-time dashboard best practices for usability and performance
- Exercise: Create a functional real-time dashboard
Module 5: Get Started with Data Activator in Microsoft Fabric
- Understand the purpose and capabilities of Data Activator
- Get started with Data Activator functionality and setup
- Understand triggers, conditions, and actions within Data Activator
- Retrieve data from Power BI reports and event streams using Data Activator
- Assign and manage data in Data Activator
- Create and configure triggers for automated actions
- Exercise: Utilize Data Activator capabilities in Fabric
