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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.

Course content
  • 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

Frequently asked questions

  • 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.

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