Overview
Build hands-on solutions using Fabric Workspace, Lakehouse, and SQL Analytics Endpoints., Design Fact & Dimension tables and create efficient Data Models for analytics., Analyze performance using Dynamic Management Views (DMVs) and Query Insights., Validate business data using Data Consistency checks in real-world scenarios., Implement Dynamic Data Masking, Row-Level & Column-Level Security in Fabric., Ingest and analyze real-time stock data using Eventstream and Eventhouse., Train machine learning models on diabetic patient data for predictive insights., Create advanced visualizations using Data Science Notebooks in Fabric., Manage project tracking, issues, and dashboards with Fabric tools., Develop CI/CD pipelines for continuous analytics deployment using Fabric., Build and query APIs using GraphQL for real-time analytics and integration., Implement Slowly Changing Dimensions (SCD) Type 1 and Type 2 in Lakehouse., Configure Dynamic Data Masking in Azure SQL for sensitive data protection., Create and manage Azure SQL Databases and Azure SQL Servers efficiently., Query and visualize big data using Kusto Query Language in Azure Explorer., Master SQL & Visual Query Editors to build and debug optimized queries., Understand Delta Lake Tables and their role in transactional data lakes., Work with PySpark DataFrames and Spark SQL to handle big data efficiently., Distinguish between types of analytics and apply appropriate techniques., Learn data warehousing principles and how Fabric fits into modern BI., Master use of notebooks, dataframes, and scripting for analytics modeling., Understand API architecture using GraphQL and implement it in Fabric., Deep dive into theory behind SCDs and implement use cases in the cloud., Practice with exam questions and understand Microsoft-backed answer logic.
Aspiring Data Analysts, Engineers, and BI Developers looking to gain hands-on expertise with Microsoft Fabric and its analytics ecosystem., IT professionals and database administrators seeking to upskill in Fabric Workspace, Lakehouse, and SQL Analytics Endpoints., Candidates preparing for the DP-600 certification exam who want real-world, project-based learning to master the exam objectives., Cloud and Data Engineers aiming to integrate Fabric tools with Azure services like Eventstream, SQL Database, and Data Explorer., Developers and Architects interested in securing analytics solutions using Row-Level/Column-Level Security and Dynamic Data Masking., Python or PySpark learners wanting to apply their skills in data science notebooks, model training, and data visualizations in Fabric., Data-driven professionals who value understanding concepts deeply—like SCDs, DMVs, Delta Lake, GraphQL APIs—backed by hands-on execution.
Familiarity with basic SQL concepts like SELECT, JOIN, and WHERE clauses., Awareness of data warehousing and analytics concepts., Knowledge of Python basics, Prior exposure to Azure fundamentals
Looking to ace the DP-600 exam and gain practical, real-world experience with Microsoft Fabric? This course offers a complete hands-on journey designed around projects that reflect real IT industry scenarios using Microsoft Fabric's modern analytics stack.
Each module begins with theory-first learning—covering essential concepts like Fabric Workspace, Lakehouse architecture, SQL Analytics Endpoints, Delta Tables, PySpark DataFrames, Spark SQL, Visual Query Editors, Eventhouses, SCD Types, and more. Then, you’ll dive into realistic, guided labs that strengthen technical skills while preparing you for certification success.
End-to-End Hands-on Projects Included:
Project #1: Fabric Workspace, Lakehouse & SQL Analytics Endpoint Setup
Project #2: Designing Fact Tables, Dimension Tables & Data Models
Project #3: Performance Tuning with Dynamic Management Views (DMV) & Query Insights
Project #4: Validating Data Consistency Across Sources
Project #5: Implementing Dynamic Data Masking in Azure SQL Database
Project #6: Securing Data with Row-Level & Column-Level Security in Fabric
Project #7: Real-Time Stock Data Ingestion & Analysis Using Eventstream
Project #8: Diabetic Patient Data Analysis & Predictive Model Training
Project #9: Data Science Notebook for Mastering Visualizations
Project #10: Building a Project Tracking & Issue Management System
Project #11: CI/CD Deployment Pipeline for Fabric Analytics Solutions
Project #12: Creating & Consuming an API with GraphQL
Project #13: SCD Type 1 & SCD Type 2 Implementation in Fabric
Project #14: Azure SQL Server & Database Configuration with Data Masking
Project #15: Azure Data Explorer – Kusto Query Language (KQL) Hands-on Demo
You’ll also gain access to interactive practice tests with detailed video explanations for both correct and incorrect choices—rooted in Microsoft documentation and explained using strategic elimination techniques.
This is not just another course—it’s your launchpad to becoming a confident, job-ready Fabric Analytics Engineer, taught by Cloud Guru Amit. Get certified, get skilled, and get ahead.
Cloud Guru Amit
Amit has over 10+ years of IT experience with diverse knowledge in AWS & Azure Cloud. Amit is also one of the most sought after IT professional who has over 24 different cloud certifications.
Amit loves to teach people how to use cloud properly, to get them ready for their AWS and Azure certifications, and most importantly for the real world implementation in day to day IT work.
During his spare time he enjoys exploring restaurants, cooking, practicing yoga and traveling to awesome destinations!
In order to spread knowledge I am not able to respond to private messages on Udemy. If you're a student, please ask questions inside the course. Thanks for understanding!