This course is designed for data engineers looking to enhance their skills in Microsoft Fabric and Azure Databricks. We'll take deep dive into the world of data engineering with hands-on labs and interactive sessions. During this course you'll gain practical experience with Microsoft Fabric, Apache Spark, Delta Lakes, and advanced Azure Databricks functionalities
Duration - 8 Hours
Level - Intermediate
Style - Self paced
Course Type - Project Ready with Labs
Certification - No
Hands on Labs - Yes
Solution Areas - Azure - Cloud & AI Platform, Unify Your Data Platform
Microsoft Fabric provides a unified analytics platform with key terminology, integrated Copilot, and configurable settings. It supports workspace management, Git integration, and data discovery through the OneLake catalog.
Data Engineering in Microsoft Fabric enables scalable data processing using Lakehouse, Data Factory, and Data Pipelines. It supports seamless data ingestion with Dataflows Gen2 for efficient data integration.
Microsoft Fabric leverages Spark compute for scalable processing, with support for job definitions, monitoring, and Delta Lake optimizations like V-Order. It offers tools like Fabric Notebooks, VS Code extension, GraphQL APIs, UDFs, and Spark admin settings for enhanced development and management.