Udemy – Microsoft Fabric Data Engineering Mastery: A Complete Guide 2024-8

What you will learn in the course

• Introduction to Microsoft Fabric: Build a strong foundation with an overview of Microsoft Fabric’s core features, workspace setup, and data ingestion processes.
• Master the Medallion Architecture: Learn to implement the Medallion architecture by organizing data into Raw, Bronze, Silver, and Gold tiers for efficient and scalable processing.
• Dataflows Gen 2 for Data Transformation: Explore Dataflows Gen 2 for managing data at various stages, from Raw to Gold, while addressing common issues for seamless ingest.
• Advanced SQL and Python integration: Use SQL and Python for data processing, automation, and transformation. Build powerful pipelines, automate workflows, and use PySpark for advanced data management.
• Visualization and Reporting: Gain insights into using PowerBI to visualize data, design interactive dashboards, and create comprehensive reports for decision-making.
• End-to-end data engineering solutions: Create complete data engineering workflows to build scalable architectures using Dataflows, pipelines, and transformation techniques.
• Practical Application with a Car Sales Case Study: Reinforce concepts by following a real-life case study and apply each tool and technique to solve practical problems.

This course is suitable for people who:

• Data Engineers: Professionals responsible for designing, building, and maintaining data architecture, databases, and processing systems.
• Data Analysts: Individuals looking to expand their data processing and integration skills for comprehensive data analysis.
• Database Administrators: Those looking to increase their knowledge of Microsoft Fabric and related tools to optimize data management.
• Business Intelligence Professionals: People interested in developing end-to-end solutions for business intelligence and analytics.
• Data Scientists: Professionals looking to strengthen their data engineering capabilities, especially in large-scale data processing using technologies like Spark.
• IT Professionals: Those working in IT roles and seeking expertise in data engineering within the Microsoft ecosystem.
• Students and graduates: People who are studying or have recently graduated in fields related to data science, computer science, or information technology.
• Tech Enthusiasts: People who are passionate about learning the latest tools and best practices in data engineering.
• Professionals changing careers: People looking to make a career change in data engineering or related roles.
• Anyone interested in Microsoft data technologies: Those interested in gaining expertise in Microsoft technologies for data engineering and analytics.

Installation Guide

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