Microsoft Fabric Data Engineering Mastery: A Complete Guide
EssentialSQL: Microsoft Fabric Data Engineering Mastery
Data Engineering | Microsoft Fabric | Azure Data Factory | Spark | Medallion | Lakehouse | Data Warehouse | SQL | Python
Product Brand: Udemy
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Udemy Coupon Code for Microsoft Fabric Data Engineering Mastery: A Complete Guide Course. Hands-On Learning with Azure Data Factory, Spark & Medallion Architecture for Scalable Data Solutions
Created by Kris Wenzel | 8 hours on-demand video course | 13 downloadable resources
Microsoft Fabric Course Overview
Microsoft Fabric Data Engineering Mastery: A Complete Guide
Unlock the full potential of data engineering with our comprehensive course on Microsoft Fabric. This hands-on program is designed for individuals seeking to master the latest in data transformation and integration technologies using Microsoft Fabric. Whether you’re a data engineer, analyst, or IT professional, this course will equip you with the skills to build robust, scalable data solutions.
What You Will Learn
- Introduction to Microsoft Fabric: Get started with Microsoft Fabric, exploring its core features and capabilities for data engineering. Learn how to set up your workspace and prepare for data ingestion.
- Medallion Architecture: Understand and implement the Medallion Architecture in Microsoft Fabric. Gain insights into organizing data into Raw, Bronze, Silver, and Gold layers for efficient processing and analysis.
- Dataflows Gen 2: Discover the power of Dataflows Gen 2 for transforming and managing data. Learn how to ingest data through various stages, from Raw to Gold, and address common challenges.
- SQL and Python Integration: Dive into SQL and Python for advanced data transformation and processing. Create pipelines, automate workflows, and leverage SQL queries and PySpark to enhance data management.
- Visualization and Reporting: Use PowerBI to visualize data and generate insightful reports. Understand how to prepare data for visualization and create meaningful dashboards.
- End-to-End Solutions: Construct comprehensive end-to-end data engineering solutions. Learn how to integrate dataflows, pipelines, and transformation techniques to build a scalable data architecture.
- Practical Application: Engage in hands-on exercises with real-world examples, including a Car Sales case study. Work alongside the instructor to implement data engineering solutions and solve practical problems.
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Microsoft Fabric Complete Guide – Future of Data with Fabric Course
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In this comprehensive Microsoft Fabric Complete Guide – Future of Data with Fabric Course, you will learn about important topics like Lakehouse versus warehouse and the concept of workspaces. Learn how to set up and configure workspace access, how to use OneLake and Delta Lake, and how to apply authentication and authorization techniques for data protection. Improve your knowledge of shortcuts, monitoring hubs, and data hubs. Learn about Spark integration, different ingest strategies for efficient data loading, and key topics like SQL vs. KQL and performance management.
Who this course is for:
- Data Engineers: Professionals responsible for designing, constructing, and maintaining data architecture, databases, and processing systems.
- Data Analysts: Individuals seeking to expand their data processing and integration skills for comprehensive data analysis.
- Database Administrators: Those looking to enhance their knowledge of Microsoft Fabric and related tools for optimizing data management.
- Business Intelligence Professionals: Individuals interested in developing end-to-end solutions for business intelligence and analytics.
- Data Scientists: Professionals aiming to strengthen their data engineering capabilities, especially in large-scale data processing using technologies like Spark.
- IT Professionals: Those involved in IT roles looking to specialize in data engineering within the Microsoft ecosystem.
- Students and Graduates: Individuals pursuing education or recently graduated in fields related to data science, computer science, or information technology.
- Technology Enthusiasts: Individuals with a keen interest in learning about the latest tools and best practices in the field of data engineering.
- Professionals Transitioning Careers: Individuals seeking a career change into the field of data engineering or related roles.
- Anyone Interested in Microsoft Data Technologies: Enthusiasts looking to gain expertise in Microsoft technologies for data engineering and analytics.
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Taught by Kris Wenzel
