DP-602 Implement a Data Warehouse with Microsoft Fabric
Modern data warehouses rely on clear structures, well-designed processes, and a solid foundation. Microsoft Fabric provides a unified cloud environment where data storage, processing, and analysis work together seamlessly.
Key topics
- Exploring the architecture and components of the Microsoft Fabric platform.
- Planning and implementing scalable data warehouse structures.
- Ingesting, processing, and securely storing data.
- Improving query performance and monitoring operations.
- Implementing access controls, roles, and compliance requirements.
- Running and maintaining analytical platforms in production.
Prerequisite
Participants who are familiar with SQL queries and have a basic grasp of cloud concepts can get started right away.
Target group
Professionals building, running, and advancing data-intensive platforms – particularly in cloud and analytics projects.
Structuring data flows thoughtfully and applying sound storage concepts creates the foundation for resilient, long-term analytics solutions.
- Getting to know the structure and concept of data warehouses
- Exploring data warehouses in Microsoft Fabric
- Writing SQL queries and transforming data
- Structuring and preparing data for analytics
- Setting up security and monitoring in the data warehouse
- Getting to know different data ingestion strategies
- Using pipelines for data transfer into the warehouse
- Using T-SQL for targeted data loading
- Using Dataflow Gen2 for transformation and loading
- Using the SQL Editor for database queries
- Exploring and applying the visual editor
- Using external client tools to access the warehouse
- Tracking and managing capacity utilization
- Observing and evaluating platform activity
- Analyzing and optimizing query behavior
- A scalable data warehouse – covering data integration, modeling, and performance tuning for real-world business needs.
- Centralized data management, reduced silos, and faster decision-making make the platform a strategic asset for organizations.
- Designing modern data architectures, applying lakehouse concepts, and efficiently handling large-scale data volumes.
- Unstructured data flows, sluggish queries, and high operating costs can stall projects and compromise the quality of analytics outcomes.
- Especially valuable for data engineering, BI, and IT professionals building and operating scalable cloud-based data platforms.
- Dataflows, SQL endpoints, and modern storage concepts are applied hands-on within the Microsoft Fabric platform.
- Real-world use cases walk through how to connect sources, transform data, and prepare it for analysis.
- Thoughtful data flows, shorter delivery timelines, and more reliable analytics improve the quality of data-driven decisions.