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Course Outline
Introduction to End-to-End Analysis with Microsoft Fabric
- Overview of Microsoft Fabric.
- Understanding the Lakehouse Architecture.
- End-to-End Analytics Workflow.
Getting Started with Lakehouses in Microsoft Fabric
- Core Features and Capabilities of Lakehouses.
- Creating and Configuring a Lakehouse.
- Data Ingestion into Lakehouse Tables.
Using Apache Spark in Microsoft Fabric
- Configuring Apache Spark in Microsoft Fabric.
- Leveraging Spark for Distributed Data Processing.
- Analyzing and Transforming Data with Spark DataFrames.
Working with Delta Lake Tables in Microsoft Fabric
- Introduction to Delta Lake and Delta Tables.
- Managing and Versioning Data with Delta Tables.
- Implementing Data Transformations and Queries.
Ingesting Data with Dataflows Gen2 in Microsoft Fabric
- Capabilities of Dataflows Gen2.
- Designing Dataflow Solutions for Data Ingestion.
- Integrating Dataflows into Data Pipelines.
Using Data Factory Pipelines in Microsoft Fabric
- Overview of Data Factory Pipelines.
- Building and Orchestrating Data Pipelines.
- Automating Data Movements and Transformations.
Summary and Next Steps
Requirements
- Familiarity with data management principles.
- Experience with SQL databases.
- Basic knowledge of cloud computing concepts.
Audience
- Data engineers.
- Database administrators.
- Data analysts.
21 Hours
