As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.
Duration - 10 Hours
Level - Intermediate
Style - Self paced
Course Type - Credential Ready
Certification - Yes
Hands on Labs - Yes
Solution Areas - Azure - Cloud & AI Platform
In this module you will learn about Exploring various features and capabilities of Microsoft Fabric like working with Lakehouses in Fabric, How to ingest data into Lakehouse, How to use Apache Spark in Fabric, Learn about Delta Lakes and Tables, Explore the Dataflow Gen 2 Capabilities
In this module you will learn about pipeline capabilities in Microsoft Fabric, Copy Data activity in a pipeline, medallion architecture in data management, real-time data analytics concepts, Capture, transform, and route data using Microsoft Fabric Eventstreams, Query real-time data by using Kusto Query Language (KQL)
In this module you will learn about data warehouses in Fabric, Create and manage fact tables and dimensions within a data warehouse, Strategies to load data into a data warehouse in Microsoft Fabric, Load data in a warehouse using T-SQL, Load and transform data with dataflow (Gen 2), Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app, concepts of securing a data warehouse in Microsoft Fabric, Implement dynamic data masking, row-level security, and column-level security
In this module you will learn about CI/CD and how it's implemented in Fabric, Implement version control and Git integration, Apply monitoring concepts to Microsoft Fabric, Use Monitoring Hub in Microsoft Fabric, Fabric security model, Configure workspace and item permissions
In this exam preparation module, learn effective preparation strategies for the certification exam, including sample questions and study tips.