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Course Outline
Introduction to End-to-End Analytics with Microsoft Fabric
- Overview of Microsoft Fabric
- Exploring Lakehouse Architecture
- End-to-End Analytics Workflows
Initiating Work with Lakehouses in Microsoft Fabric
- Key Features and Functionalities of Lakehouses
- Creation and Configuration of a Lakehouse
- Populating Lakehouse Tables with Data
Utilising Apache Spark within Microsoft Fabric
- Setup and Configuration of Apache Spark in Microsoft Fabric
- Harnessing Spark for Distributed Data Processing
- Data Analysis and Transformation via Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- Basics of Delta Lake and Delta Tables
- Data Management and Versioning with Delta Tables
- Executing Data Transformations and Queries
Data Ingestion via Dataflows Gen2 in Microsoft Fabric
- Capabilities of Dataflows Gen2
- Designing Dataflow Solutions for Ingestion
- Embedding Dataflows into Data Pipelines
Implementing Data Factory Pipelines in Microsoft Fabric
- Introduction to Data Factory Pipelines
- Construction and Orchestration of Data Pipelines
- Automating Data Movement and Transformation
Requirements
- Familiarity with data management principles
- Hands-on experience with SQL databases
- Foundational understanding of cloud computing concepts
Target Audience
- Data engineers
- Database administrators
- Data analysts
21 Hours
