DP-203 : Microsoft Azure Data Engineer Ultimate Course 2025

DP-203 : Microsoft Azure Data Engineer Ultimate Course 2025 | Udemy [Update 12/2024]
English | Size: 1.61 GB
Genre: eLearning

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.

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 Factory
Azure Synapse Analytics
Azure Stream Analytics
Azure Event Hubs
Azure Data Lake Storage
SQL
Kusto Query Language (KQL)
Storage Account
Azure Log Analytics Workspace
Azure SQL Database
Azure SQL Server

The 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!

Who this course is for:

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.