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Microsoft Fabric Data Engineering Mastery: A Complete Guide

Hands-On Learning with Azure Data Factory, Spark & Medallion Architecture for Scalable Data Solutions

     
  • 4.7
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₹1299

This Course Includes

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  • icon4.7 (2 reviews )
  • icon8 total hours
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  • iconOnline - Self Paced
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About Microsoft Fabric Data Engineering Mastery: A Complete Guide

Unlock the potential of data engineering with Microsoft Fabric in this comprehensive, hands-on course. Designed for data engineers, analysts, and IT professionals, this course provides practical skills to build scalable, robust data solutions. Through real-world exercises and a detailed case study, you’ll master data transformation, integration, and pipeline automation with Microsoft Fabric’s latest technologies.

What You’ll Learn:

Introduction to Microsoft Fabric: Begin with an overview of Microsoft Fabric’s core features, workspace setup, and data ingestion processes to lay a strong foundation.

Medallion Architecture Mastery: Learn to implement the Medallion Architecture by organizing data into Raw, Bronze, Silver, and Gold layers for efficient and scalable processing.

Dataflows Gen 2 for Transformation: Explore Dataflows Gen 2 to manage data across stages, from Raw to Gold, while troubleshooting common issues for seamless ingestion.

Advanced SQL and Python Integration: Use SQL and Python for data processing, automation, and transformation. Build powerful pipelines, automate workflows, and leverage PySpark for enhanced data management.

Visualization and Reporting: Gain insights into using PowerBI to visualize data, design interactive dashboards, and create comprehensive reports tailored for decision-making.

End-to-End Data Engineering Solutions: Construct complete data engineering workflows using Dataflows, pipelines, and transformation techniques to build scalable architectures.

Practical Application with Car Sales Case Study: Follow a real-world case study to reinforce concepts, applying each tool and technique to solve practical problems.

Course Highlights:

Hands-On Learning: Participate in guided exercises to work alongside the instructor, implementing real data engineering solutions from scratch.

Flexible Learning Path: Advance at your own pace, beginning with foundational skills and moving to complex data processing with SQL, Python, and Spark.

Interactive Exercises and Real-World Scenarios: Build and optimize dataflows, pipelines, and data models to solve common data engineering challenges.

Direct Instructor Support and Community Engagement: Access expert guidance and connect with a community of learners to share insights and troubleshoot issues.

Who Should Enroll:

Data Engineers and Analysts looking to deepen their expertise in Microsoft Fabric and data processing.

Database Administrators wanting to streamline data management with Microsoft Fabric.

Business Intelligence Professionals eager to create end-to-end solutions for analytics.

Data Scientists expanding their data engineering capabilities for large-scale data.

IT Professionals and Tech Enthusiasts interested in Microsoft’s cutting-edge data engineering tools.

Take your data engineering skills to new heights with Microsoft Fabric. Join us for hands-on experience and a practical approach to building scalable data solutions!

Note:  This course is a good introduction to Fabric and covers many of the topics required for the Azure Data Engineer Associate certification.  Check out the preview lesson "Introduction to Microsoft Fabric Data Engineering and Certification Alignment" to see what's covered and what is not.

What You Will Learn?

  • Optimize Microsoft Fabric: Learn best practices for efficient data engineering organization..
  • Understand Azure Data Factory: Grasp workflow orchestration for foundational knowledge in data engineering..
  • Apply Data Integration: Utilize principles for end-to-end solutions in comprehensive data engineering..
  • Evaluate Data Transformations: Compare techniques within Microsoft Fabric for informed data processing..
  • Implement Solutions with Azure Data Factory: Leverage it with SQL Data Warehouse for comprehensive data engineering..
  • Develop Solutions with Spark: Create end-to-end solutions for large-scale data processing and analytics..
  • Construct Fabric Data Flows: Tailor flows in Microsoft Fabric for transforming and managing data in Lakehouse..
  • Build Fabric Spark Jobs: Create advanced Spark jobs within Microsoft Fabric for complex data transformations..
  • Establish Data Warehouse: Ingest from Fabric Lakehouse for a scalable and reliable data warehouse..
  • Design ADF Pipelines: Develop Azure Data Factory pipelines for efficient end-to-end data transformations..
  • Create Data Solutions with Dataflows: Construct end-to-end solutions, integrating components for seamless data processing..
  • Apply DevOps for Version Control: Utilize Microsoft DevOps for systematic source code management..
  • Implement Medallion Architecture: Apply advanced principles in Microsoft Fabric for efficient data handling..