Course Description
In this Fabric training course, learners explore the capabilities and features of Microsoft Fabric, a unified data platform designed for building scalable, secure, and high-performance data solutions. This course takes learners through essential data fundamentals, such as Big Data concepts and warehousing strategies, before diving into the core SaaS architecture of Fabric workspaces and compute engines. Learners discover how to architect unified storage using OneLake and Delta tables while mastering data engineering tasks through Data Factory pipelines, Dataflows Gen2, and Apache Spark integrations within Lakehouses. Additionally, the course covers advanced topics including the deployment of SQL databases, the implementation of Real-time Intelligence, and the creation of AI data agents to drive decision-making.
Skills Gained
- Evaluate core data management principles including OLAP versus OLTP systems and row-based versus column-based storage strategies
- Provision Microsoft Fabric workspaces and compute capacities to support various data engineering and analytics personas
- Architect unified storage solutions using OneLake and Delta table formats to support SQL databases and mirroring
- Construct automated ETL processes to ingest and transform data using Data Factory pipelines and Dataflows Gen2
- Implement Apache Spark architectures within Lakehouses to manage big data workflows and leverage shortcuts for efficient access
- Develop and publish AI-driven data agents to enable intelligent questioning of selected data sources
Prerequisites
- Familiarity with cloud technologies and data platforms.
- Experience with data integration and analytics tools.
- Basic knowledge of Microsoft Azure services is useful but not necessary.