This comprehensive course provides thorough instruction on implementing a modern data warehouse using Microsoft Fabric, a powerful integrated platform for data management and analytics. Participants will acquire practical expertise in deploying, managing, and optimizing data warehouse solutions while ensuring seamless coordination with other analytics platforms and tools. The curriculum addresses essential data warehousing topics, including data ingestion and loading strategies, advanced querying techniques, comprehensive monitoring procedures, and robust data security measures, providing learners with a complete foundation in contemporary data warehousing best practices.
Designed specifically for professionals committed to advancing their data management capabilities, this course equips learners with the skills needed to manage large-scale data environments effectively and efficiently. Upon course completion, participants will demonstrate proficiency in leveraging Microsoft Fabric to build and maintain sophisticated data analytics solutions that generate actionable business insights and support strategic decision-making.
Audience Profile:
This course is ideally suited for data professionals such as data engineers, data analysts, and database administrators seeking to enhance their expertise in data warehousing and analytics using Microsoft Fabric. It is also valuable for IT professionals responsible for overseeing data infrastructure, maintaining system performance, and implementing security measures to protect organizational data assets.
Prerequisites:
Familiarity with fundamental data concepts and standard industry terminology is necessary for success in this course.
Course Outline
Module 1: Getting Started with Data Warehouses in Microsoft Fabric
- Understand foundational data warehouse concepts and principles
- Explore data warehousing capabilities within the Fabric platform
- Learn data transformation and querying techniques
- Prepare data for comprehensive analysis and reporting
- Implement security measures and establish monitoring processes
- Exercise: Perform data analysis using Fabric data warehouse functionality
Module 2: Loading Data into a Microsoft Fabric Data Warehouse
- Examine various data loading strategies and approaches
- Utilize data pipelines to populate and refresh warehouses
- Load data using T-SQL scripting and queries
- Transform and integrate data using Dataflow Gen2
- Exercise: Successfully load data into a Microsoft Fabric warehouse
Module 3: Querying a Data Warehouse in Microsoft Fabric
- Master the SQL query editor interface and functionality
- Explore the visual query editor for building queries
- Connect third-party client tools to query warehouse data
- Exercise: Execute queries against a Microsoft Fabric data warehouse
Module 4: Monitoring a Microsoft Fabric Data Warehouse
- Track and analyze capacity utilization metrics
- Monitor ongoing system activity and performance
- Analyze query performance and optimization opportunities
- Exercise: Establish monitoring for a Microsoft Fabric data warehouse
Module 5: Securing a Microsoft Fabric Data Warehouse
- Implement dynamic data masking for sensitive information
- Configure row-level security controls
- Apply column-level security restrictions
- Establish SQL granular permissions using T-SQL statements
- Exercise: Secure a data warehouse in Microsoft Fabric
