This course provides an in-depth understanding of Microsoft Fabric, a unified platform for data analytics and AI. The course covers Fabric’s key components, hands-on exercises, and best practices for real-world applications.
- Overview of Microsoft Fabric
- Key Features and Capabilities
- Understanding OneLake and its Role
- Fabric vs. Other Data Platforms
- Hands-on: Exploring Microsoft Fabric UI
- Introduction to Data Engineering in Fabric
- Working with OneLake and Lakehouse Architecture
- Dataflows and Pipelines in Fabric
- Hands-on: Creating and Managing a Lakehouse
- Introduction to Fabric Data Warehousing
- Understanding Semantic Models
- Querying Data with SQL Endpoints
- Hands-on: Building a Fabric Data Warehouse
- Introduction to Data Science in Fabric
- Using Notebooks in Fabric
- Machine Learning Models with Fabric
- Hands-on: Building a Simple ML Model
- Understanding Real-time Data Processing
- Eventstream and KQL Databases in Fabric
- Hands-on: Creating a Real-time Dashboard
- Fabric and Power BI Integration
- Building Interactive Reports
- Hands-on: Creating Power BI Dashboards in Fabric
- Data Security in Fabric
- Managing Permissions and Access
- Hands-on: Implementing Role-based Security
- Automating Workflows in Fabric
- Performance Optimization Techniques
- Hands-on: Automating Data Pipelines
- Building an End-to-End Data Solution with Microsoft Fabric
- Implementing Best Practices
- Basic knowledge of cloud computing and data analytics
- Familiarity with SQL and Power BI (optional but helpful)
- Data Engineers
- Data Scientists
- Data Analysts
- Business Analysts
- Cloud Architects
