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Duration 21 hours
Course Outline
Intro to Comprehensive Analysis with Microsoft Fabric
- Snapshot of Microsoft Fabric
- Decoding the Lakehouse Architecture
- Full-Cycle Analytics Process
Launching Lakehouses in Microsoft Fabric
- Primary Features and Capabilities of Lakehouses
- Establishing and Setting Up a Lakehouse
- Loading Data into Lakehouse Tables
Applying Apache Spark within Microsoft Fabric
- Setting up Apache Spark in the Fabric environment
- Exploiting Spark for Distributed Data Handling
- Examining and Modifying Data via Spark DataFrames
Interacting with Delta Lake Tables in Microsoft Fabric
- Overview of Delta Lake and Delta Tables
- Controlling and Versioning Data with Delta Tables
- Executing Data Transformations and Queries
Data Ingestion via Dataflows Gen2 in Microsoft Fabric
- Features of Dataflows Gen2
- Crafting Dataflow Strategies for Ingestion
- Integrating Dataflows into Data Pipelines
Leveraging Data Factory Pipelines in Microsoft Fabric
- Overview of Data Factory Pipelines
- Constructing and Managing Data Pipelines
- Streamlining Data Movement and Transformation
Requirements
- Familiarity with data management fundamentals
- Hands-on experience with SQL databases
- Foundational understanding of cloud computing concepts
Target Audience
- Data engineers
- Database administrators
- Data analysts
