Dp-203 : Microsoft Azure Data Engineer Ultimate Course 2025

8+ REAL End-to-End Azure Data Engineer IT Projects | 130+ High-Quality Practice Exam Questions with VIDEO Explanation !

What you'll learn

Understand the fundamentals of Azure Data Factory and its practical applications.

Master the process of uploading and copying CSV files using Azure Data Factory.

Gain hands-on experience with end-to-end big data workloads using Azure Synapse Analytics.

Learn to ingest semi-structured data (JSON) into Azure SQL Database with Azure Data Factory.

Develop skills in mapping data flows and performing ETL operations in Azure Data Factory.

Configure and manage Azure Synapse Analytics workspaces and Apache Spark pools.

Create and manage notebooks in Azure Synapse Studio for data processing.

Execute and optimize Spark SQL queries for big data analytics.

Implement network configurations and security settings for Azure data projects.

Analyze and validate data integration processes to ensure data integrity.

Prepare for the DP-203 exam with practice test questions and detailed explanations.

Apply the method of elimination to understand correct and incorrect answers backed by Microsoft Documentation.

Requirements

Basic understanding of cloud computing concepts.

Prior experience with data engineering tools and techniques is beneficial but not mandatory.

Description

Unlock your potential as a data engineer with the DP-203: Microsoft Azure Data Engineer Ultimate Course 2025. This comprehensive course is designed to provide you with the skills and knowledge needed to excel in data engineering on Microsoft Azure.What You'll Learn:Hands-On Azure Data Factory Project: Uploading and copying CSV files.Hands-On Azure Synapse Analytics Project: End-to-end big data workload.Ingesting Semi-Structured Data: JSON to Azure SQL Database using Azure Data Factory.Hands-On Mapping Data Flows: End-to-end ETL project with Azure Data Factory.Creating an Event Hub with ARM Template: Step-by-step deployment using ARM templates.Implementing Dynamic Data Masking: Protect PII data in Azure SQL Database.Creating and Configuring Azure Log Analytics Workspace: From setup to advanced configurations.Analyzing IoT Data Using Azure Stream Analytics: Real-time data analysis and visualization.AWS Services / Tools Used in the Course :Azure Data FactoryAzure Synapse AnalyticsAzure Stream AnalyticsAzure Event HubsAzure Data Lake StorageSQLKusto Query Language (KQL)Storage AccountAzure Log Analytics WorkspaceAzure SQL DatabaseAzure SQL ServerThe course also includes 130+ High-Quality practice test exam questions with interactive video explanations for each correct and incorrect answer, using the method of elimination backed by Microsoft Documentation. Join Cloud Guru Amit in this ultimate course to gain practical experience, enhance your data engineering skills, and prepare for the DP-203 certification exam with confidence. Enroll now and take the first step towards becoming a certified Azure Data Engineer!

Overview

Section 1: DP-203: Data Engineering on Microsoft Azure End-to-End Hands-on Projects

Lecture 1 Hands-On Azure Data Factory Project: Uploading and Copying CSV Files

Lecture 2 Hands-On Azure Synapse Analytics Project: End-to-End Big Data Workload

Lecture 3 Ingesting Semi-Structured Data to Azure SQL Database with Azure Data Factory

Lecture 4 Hands-On Mapping Data Flows with Azure Data Factory: End-to-End ETL Project

Lecture 5 Creating an Event Hub with ARM Template: End-to-End Hands-On Tutorial

Lecture 6 Implementing Dynamic Data Masking in Azure SQL Database: End-to-End Hands-On

Lecture 7 Creating and Configuring Azure Log Analytics Workspace: End-to-End Hands-On

Lecture 8 Analyzing IoT Data Using Azure Stream Analytics: End-to-End Hands-On Tutorial

Section 2: DP-203: Data Engineering on Microsoft Azure Practice Test Exam Questions

Lecture 9 DP-203: Data Engineering on Microsoft Azure Practice Test - 1

Lecture 10 DP-203: Data Engineering on Microsoft Azure Practice Test - 2

Lecture 11 DP-203: Data Engineering on Microsoft Azure Practice Test - 3

Lecture 12 DP-203: Data Engineering on Microsoft Azure Practice Test - 4

Lecture 13 DP-203: Data Engineering on Microsoft Azure Practice Test - 5

Lecture 14 DP-203: Data Engineering on Microsoft Azure Practice Test - 6

Lecture 15 DP-203: Data Engineering on Microsoft Azure Practice Test - 7

Lecture 16 DP-203: Data Engineering on Microsoft Azure Practice Test - 8

Lecture 17 DP-203: Data Engineering on Microsoft Azure Practice Test - 9

Lecture 18 DP-203: Data Engineering on Microsoft Azure Practice Test - 10

Lecture 19 DP-203: Data Engineering on Microsoft Azure Practice Test - 11

Lecture 20 DP-203: Data Engineering on Microsoft Azure Practice Test - 12

Lecture 21 DP-203: Data Engineering on Microsoft Azure Practice Test - 13

Lecture 22 DP-203: Data Engineering on Microsoft Azure Practice Test - 14

Lecture 23 DP-203: Data Engineering on Microsoft Azure Practice Test - 15

Aspiring Data Engineers: Individuals looking to start a career in data engineering and seeking comprehensive training on Azure's data services.,Experienced Data Professionals: Data analysts, data scientists, and database administrators who want to expand their expertise in data engineering and cloud computing.,IT Professionals: System administrators, network engineers, and IT managers aiming to transition into data engineering roles or enhance their cloud computing knowledge.,Students and Graduates: College students and recent graduates in computer science, information technology, or related fields who want to gain practical skills and certification in Azure data engineering.,Cloud Enthusiasts: Individuals passionate about cloud technologies and eager to learn how to leverage Azure for data engineering projects.,Certification Seekers: Professionals preparing for the DP-203 certification exam and looking for a comprehensive course that covers all exam objectives with hands-on projects and practice tests.,Business Analysts: Analysts who want to understand how to manage and process large datasets using Azure's data engineering tools.,Tech Enthusiasts: Anyone with a keen interest in data engineering and cloud computing, regardless of their current role or experience level.