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Duration 21 hours
Course Outline
Foundations of End-to-End Analysis with Microsoft Fabric
- Introduction to Microsoft Fabric
- Exploring the Lakehouse Architecture
- The End-to-End Analytics Pipeline
Initial Steps with Lakehouses in Microsoft Fabric
- Key Features and Functionalities of Lakehouses
- Provisioning and Setup of a Lakehouse
- Loading Data into Lakehouse Tables
Integrating Apache Spark with Microsoft Fabric
- Setup and Configuration of Apache Spark
- Harnessing Spark for Distributed Processing
- Data Analysis and Transformation via Spark DataFrames
Managing Delta Lake Tables within Microsoft Fabric
- Overview of Delta Lake and Delta Tables
- Data Version Control and Management with Delta Tables
- Executing Data Transformations and Queries
Data Ingestion Strategies using Dataflows Gen2 in Microsoft Fabric
- Functional Scope of Dataflows Gen2
- Architecting Dataflow Solutions for Ingestion
- Embedding Dataflows into Broader Data Pipelines
Leveraging Data Factory Pipelines in Microsoft Fabric
- Introduction to Data Factory Pipelines
- Construction and Orchestration of Pipelines
- Automation of Data Movement and Transformation Processes
Requirements
- Familiarity with core data management concepts
- Hands-on experience with SQL databases
- Foundational understanding of cloud computing principles
Target Audience
- Data engineers
- Database administrators
- Data analysts
