DP-203: Data Engineering on Microsoft Azure

Course Description

The DP-203: Data Engineering on Microsoft Azure course is designed for professionals who want to design, implement, manage, and optimize data processing and storage solutions in Microsoft Azure. This course covers data ingestion, transformation, integration, security, and analytics, enabling learners to work with Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Data Lake. Participants will gain hands-on experience in building scalable and secure data architectures for cloud-based data processing and analytics. By the end of this course, learners will be fully prepared for the DP-203 certification exam, proving their expertise as Azure Data Engineers.

Key Learning Objectives

By completing this course, participants will be able to:

1. Design and Implement Data Storage Solutions
2. Build and Manage Data Pipelines
3. Implement Data Security and Compliance
4. Monitor and Optimize Data Processing
5. Work with Azure Databricks for Big Data Processing

Prerequisites

To ensure a successful learning experience, participants should have:

• Basic knowledge of data management, SQL, and data processing concepts.
• Familiarity with Azure services such as Azure Data Factory, Azure Storage, and Synapse Analytics.
• Experience with scripting or programming languages (Python, SQL, or Scala is beneficial).
• Understanding of big data, ETL (Extract, Transform, Load), and data pipelines.

Prior completion of DP-900: Microsoft Azure Data Fundamentals is recommended but not mandatory.

Audience Profile

This course is ideal for:

• Data Engineers working with big data processing, transformation, and analytics.
• Database Administrators (DBAs) who want to migrate and optimize data solutions in Azure.
• Cloud Data Architects responsible for scalable, enterprise-wide data solutions.
• Business Intelligence (BI) Professionals integrating Azure Synapse, Data Factory, and Power BI.
• Software Engineers & Developers handling real-time and batch data processing.

If you’re involved in data engineering, data analytics, or cloud-based ETL pipelines, this course is critical for your career growth.

Career Growth & Industry Demand

With the rapid adoption of cloud-based data platforms, companies are actively hiring professionals skilled in Azure Data Engineering to build scalable, secure, and efficient data solutions. Job Roles After Completing This Course

• Azure Data Engineer
• Big Data Engineer
• Cloud Data Architect
• ETL Developer
• Data Warehouse Engineer

Industries That Hire Azure Data Engineers

• Banking & Financial Services (Risk modeling, fraud detection, financial analytics)
• Retail & E-Commerce (Customer analytics, demand forecasting)
• Healthcare & Pharmaceuticals (Genomics, patient data analytics)
• Manufacturing & IoT (Predictive maintenance, supply chain optimization)

Why Enroll in This Course?

• Comprehensive Training: Learn end-to-end Azure Data Engineering skills.
• Microsoft Certification Preparation: Get fully prepared for the DP-203 exam.
• Career Growth Opportunities: Cloud data professionals with Azure expertise are in high demand.
• Real-World Application: Hands-on labs and case studies for practical implementation.
• Expert Mentorship: Learn from certified Azure Data Engineers.

If you’re looking to become a certified Azure Data Engineer, this course will equip you with the expertise needed to design, build, and manage scalable cloud data solutions.