Module Overview

Overview

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

Course Modules

Modules

Introduction to Microsoft Fabric

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.

Getting started with Data Engineering Experiences using Microsoft Fabric

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.

Data Engineering using Apache Spark, Delta Lakes and Notebooks

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.

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