# DP-203 Data Engineering on Microsoft Azure 

> Join Edoxi’s 32-hour Online DP-203 Data Engineering on Microsoft Azure course. Learn Azure data services, ETL, and big data to build scalable solutions. Enrol now!

## Course Details
- Rating: 5/5 (100 reviews)
- Category: Cloud Computing
- Sub-Category: Microsoft Azure

## Course Introduction
Edoxi’s 32-hour Online DP-203 Data Engineering on Microsoft Azure course offers hands-on learning to help you design, implement, and manage cloud data solutions efficiently. Gain practical skills in data lakes, batch and streaming pipelines, data transformation, and Azure data platform management through real-world labs and projects. Earn Edoxi’s course completion certificate and enhance your career. Enrol now!

## Course Overview
- Delivery Modes: Online
- Course Duration: 32 Hours
- Corporate Days: 4 Days
- Learners Enrolled: 50+
- Modules: 6

## What Do You Learn from Edoxi's DP-203 Data Engineering on Microsoft Azure Training

**Design and Implement Data Storage**
You learn to configure Azure Data Lake Storage, apply partitioning strategies, and manage data assets using Microsoft Purview.

**Develop Data Processing Solutions**
You learn to build batch and streaming pipelines with Data Factory and Synapse Analytics, and to ensure data quality using Delta Lake and Spark.

**Secure, Monitor, and Optimise Data Solutions**
You learn to implement RBAC, data masking, monitoring, and performance tuning for efficient data pipelines.

**Prepare for DP-203 Certification**
You learn to cover all exam objectives and practice with scenario-based questions aligned to the DP-203 exam.

**Build Enterprise-Grade Solutions**
You learn to design scalable, resilient data architectures using Microsoft-recommended patterns.

**Apply Cloud Data Engineering Best Practices**
You learn to optimise cost and performance using Azure-native services and industry best practices.

## About This Course
## About Our Online DP-203 Data Engineering on Microsoft Azure Course 

Edoxi’s 32-hour online Data Engineering on Microsoft Azure course is specifically designed to prepare data professionals for practical, job-ready cloud data engineering roles. You gain hands-on expertise and industry-relevant skills through a comprehensive curriculum that aligns with Microsoft’s best practices and enterprise data engineering requirements.

Our course prepares you to confidently design, implement, and manage Azure-based data solutions. Participants build proficiency in data lakes, batch and streaming pipelines, transformation workflows, and real-time data streaming solutions using Azure Data Lake Storage, Synapse Analytics, and Databricks.

The training emphasises practical application through extensive lab exercises and real-world scenarios, enabling learners to orchestrate data transfer, implement transformation pipelines, optimise performance, and enforce security and governance across Azure data services.

Microsoft has retired the DP-203 certification and exam on March 31, 2025. While the exam will no longer be available after this date, the DP-203 training course will continue to be available. 

By completing Edoxi’s DP-203 Data Engineering on Microsoft Azure course, you gain the skills and practical expertise required for Microsoft’s data engineering certifications. Microsoft now offers DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric, and successful completion of this course prepares you for the Microsoft Fabric Data Engineer Associate certification.

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## Key Features of Edoxi's DP-203 Data Engineering on Microsoft Azure Training

**Microsoft Azure Cloud Environment Access**
You can work in fully configured Azure cloud environments to practically implement data engineering concepts and simulate real-world scenarios.

**Interactive Discussion Sessions**
You can engage in expert-led discussions on architectural decisions, Azure best practices, and real-world implementation challenges.

**End-to-End Data Pipeline Projects**
You can develop complete data engineering solutions from data ingestion to analytics, including data lake setup and streaming pipeline implementation.

**Enterprise-Grade Security Implementation**
You can practice implementing RBAC, ACLs, and dynamic data masking to secure Azure data assets in line with industry standards.

**Performance Tuning Workshops**
You can master techniques to optimise Synapse queries and troubleshoot Spark jobs through hands-on, performance-focused lab sessions.

**Real-World Use Case & Capstone Project**
You can apply your skills to a real-world business use case, building a capstone data engineering solution that demonstrates end-to-end Azure data engineering expertise.

## Who Can Join Our Online DP-203 Data Engineering on Microsoft Azure Training?

**Data Professionals & Architects**
You can join this course if you are an experienced data professional or architect looking to expand your expertise into cloud-based data engineering using Microsoft Azure.

**Business Intelligence Specialists**
You can join this course if you work in BI and want to enhance your skills with Azure data platforms to build advanced analytical solutions.

**Cloud Engineers & Developers**
You can join this course if you have cloud experience and want to specialise in designing and managing data engineering workloads and pipelines on Azure.

**SQL & Python Practitioners**
You can join this course if you have foundational SQL and Python skills and want to apply them to enterprise-scale data solutions in the cloud.

**IT Professionals Transitioning to Cloud**
You can join this course if you are moving from on-premises data systems to cloud-based architectures and seeking career growth.

**Analytics & Data Science Teams**
You can join this course if you work in analytics or data science and want to build, manage, or integrate analytical solutions on Microsoft Azure platforms.

## DP-203 Data Engineering on Microsoft Azure Course Modules

### Module 1: Introduction to Azure Data Engineering

**Chapter 1.1: Fundamentals of Azure Data Engineering**
- Lesson 1.1.1: Overview of data engineering on Azure
- Lesson 1.1.2: Batch vs. real-time data processing
- Lesson 1.1.3: Azure data platform architecture and components
- Lesson 1.1.4: DP-203 exam overview and structure

### Module 2: Design and Implement Data Storage

**Chapter 2.1: Azure Data Lake Storage Gen2**
- Lesson 2.1.1: Introduction to Azure Data Lake Storage Gen2
- Lesson 2.1.2: Hierarchical namespaces and ACLs
- Lesson 2.1.3: Partitioning strategies for files and analytical workloads
- Lesson 2.1.4: Organising and managing data in the data lake

**Chapter 2.2: Azure Synapse Analytics**
- Lesson 2.2.1: Overview of serverless and dedicated SQL pools
- Lesson 2.2.2: Using database templates for analytics

**Chapter 2.3: Microsoft Purview**
- Lesson 2.3.1: Data cataloguing and lineage tracking

### Module 3: Develop Batch Data Processing

**Chapter 3.1: Data Ingestion**
- Lesson 3.1.1: Using Azure Data Factory and Synapse pipelines
- Lesson 3.1.2: Designing incremental data loads and PolyBase
- Lesson 3.1.3: Handling schema drift and late-arriving data

**Chapter 3.2: Data Transformation**
- Lesson 3.2.1: Apache Spark in Azure Databricks and Synapse Spark Pools
- Lesson 3.2.2: Delta Lake operations
- Lesson 3.2.3: Normalising and denormalising data

**Chapter 3.3: Pipeline Management**
- Lesson 3.3.1: Testing and version control for pipelines
- Lesson 3.3.2: Exception handling and batch retention policies

### Module 4: Develop Stream Data Processing

**Chapter 4.1: Event Ingestion**
- Lesson 4.1.1: Azure Event Hubs overview
- Lesson 4.1.2: Integrating Event Hubs with Stream Analytics and Databricks

**Chapter 4.2: Stream Processing**
- Lesson 4.2.1: Structured streaming and windowed aggregations
- Lesson 4.2.2: Checkpointing and watermarking
- Lesson 4.2.3: Handling schema drift in real-time data

### Module 5: Secure Data Storage and Processing

**Chapter 5.1: Security Implementation**
- Lesson 5.1.1: Data encryption (at rest and in transit)
- Lesson 5.1.2: Row-level and column-level security in Synapse
- Lesson 5.1.3: Dynamic data masking
- Lesson 5.1.4: RBAC and POSIX ACLs for Data Lake

**Chapter 5.2: Governance**
- Lesson 5.2.1: Data classification and retention policies using Microsoft Purview

### Module 6: Monitor and Optimise Data Solutions

**Chapter 6.1: Monitoring**
- Lesson 6.1.1: Azure Monitor and Log Analytics
- Lesson 6.1.2: Monitoring pipelines and streaming jobs
- Lesson 6.1.3: Performance metrics and logging best practices

**Chapter 6.2: Optimisation**
- Lesson 6.2.1: Query performance tuning in Synapse
- Lesson 6.2.2: Managing Spark job performance
- Lesson 6.2.3: Compacting small files and handling data skew

**Chapter 6.3: Troubleshooting**
- Lesson 6.3.1: Debugging failed pipelines and Spark jobs
- Lesson 6.3.2: Managing pipeline alerts and retries

## Hands-on Lab Activities in DP-203 Data Engineering on Microsoft Azure course
Edoxi’s DP-203 Data Engineering on Microsoft Azure course includes comprehensive lab activities and practical sessions designed to reflect real-world data engineering challenges. Here are some of the major lab activities.


**Create and Configure a Data Lake**
In this lab, you design and implement Azure Data Lake Storage Gen2 with an appropriate folder hierarchy and access integration to support analytical workloads.

**Implement Partitioning Strategies**
During this lab, you apply time-based and category-based partitioning techniques to optimise query performance and manage data lifecycle across different storage tiers.

**Register and Track Data Assets in Purview**
In this lab session, you configure Microsoft Purview to automatically catalogue data sources, establish end-to-end data lineage, and apply classification for governance requirements.

**Build Data Ingestion Pipelines**
During this lab, you develop Azure Data Factory pipelines to extract data from multiple sources and implement suitable transformation and loading patterns.

**Create Real-Time Data Streaming Pipelines**
In this lab, you implement Azure Event Hubs and Stream Analytics to process continuous data streams using windowing functions and generate analytical outputs.

**Implement RBAC, ACLs, and Dynamic Data Masking**
In this session, you configure role-based access control, access control lists, and column-level data masking to secure sensitive data across the Azure data platform.

## DP-203 Data Engineering on Microsoft Azure Course Outcome and Career Opportunities
Completing Edoxi’s DP-203 Data Engineering on Microsoft Azure course equips you with practical, job-ready data engineering skills aligned with Microsoft and industry standards. Key outcomes include

- You gain a strong understanding of data engineering concepts, Azure data services, and the DP-203 exam framework.
- You design and implement scalable data storage solutions using Azure Data Lake Storage, Synapse Analytics, and Microsoft Purview.
- You build and manage batch and real-time data pipelines using Azure Data Factory, Synapse, Event Hubs, and Spark.
- You apply data transformation, schema management, and data quality techniques using Delta Lake and Apache Spark.
- You implement enterprise-grade security, governance, monitoring, and performance optimisation for Azure data solutions.
- You strengthen hands-on expertise through labs, end-to-end data pipeline projects, and scenario-based practice aligned with DP-203 certification.

## Career Opportunities After Our Online DP-203 Data Engineering on Microsoft Azure Course
Azure Data Engineer, Data Engineer, Cloud Data Engineer, BI (Business Intelligence) Engineer, Analytics Engineer, Data Platform Engineer, Big Data Engineer, Data Solutions Architect, ETL / Data Pipeline Engineer, Senior Data Engineer

## DP-203 Data Engineering on Microsoft Azure Training Options

**Live Online Training**
- 30-hours of virtual online training
- Virtual Azure Environment Access
- Real-time Instructor Interaction
- Flexible Schedule for Working Professionals
- Recorded Sessions for Revision

**Corporate Training**
- 4 days of intensive corporate training
- Customised Content for Organisation Needs
- Flexible Delivery Options (On-Site / Edoxi Office / Hotel)
- Fly-Me-a-Trainer Option
- Food and refreshments provided for corporate teams

## How to Get a DP-203 Data Engineering on Microsoft Azure Certification?
Here’s a four-step guide to becoming a certified DP-203 Data Engineering on Microsoft Azure Certification professional.

1. Join Edoxi’s DP-203 Data Engineering on Microsoft Azure course online
2. Attend expert-led sessions on Azure data engineering concepts and Microsoft data services
3. Gain hands-on experience through virtual labs and end-to-end data pipeline projects
4. Earn Edoxi’s Course Completion Certificate

## Why Choose Edoxi for the Online DP-203 Data Engineering on Microsoft Azure Course?
Edoxi delivers globally recognised Microsoft Azure Data Engineering training backed by industry expertise and flexible learning models. Here’s why professionals and organisations choose Edoxi


**Authorised Microsoft Learning Partner**
Edoxi maintains official Microsoft Learning Partner status, providing direct access to the latest Azure data engineering curriculum and certification pathways.

**Azure-Certified Data Engineering Specialists**
Our instructors hold active Microsoft certifications and have implemented enterprise-scale Azure data solutions across major UAE industries and organisations.

**Proven Corporate Training Excellence**
We have successfully delivered customised Azure data engineering training to technical teams from leading financial institutions and government entities.

**Personalised Learning Experience**
Limited batch sizes and low student-to-trainer ratios ensure individual attention, addressing each participant's specific learning challenges.

**Complete Azure Data Engineering Pathway**
The DP-203 course integrates with our broader Azure certification offerings, enabling professionals to build end-to-end cloud data engineering capabilities.

**Proven Regional and Global Reach**
Edoxi has a strong presence across the GCC—including UAE and Saudi Arabia—and is expanding into European markets, delivering consistent and high-quality training globally.

## Frequently Asked Questions

**Q: What are the prerequisites for joining Edoxi’s Online DP-203 Data Engineering on Microsoft Azure course?**
A: The DP-203 Data Engineering on Microsoft Azure training requires basic knowledge of SQL, Python, and fundamental data modelling concepts. Pre-course materials are provided to help beginners establish the necessary foundation before attending the main training sessions.

**Q: How long is Edoxi’s Online DP-203 Data Engineering on Microsoft Azure certification course?**
A: The DP-203 Data Engineering on Microsoft Azure course is a 40-hour program, delivered through expert-led sessions, hands-on virtual labs, and real-world projects to ensure participants gain practical, job-ready skills.

**Q: What will I learn in Edoxi’s Online DP-203 Data Engineering on Microsoft Azure certification course?**
A: In this DP-203 Data Engineering on Microsoft Azure course, you’ll master cloud data engineering skills, including designing data lakes, building batch and streaming pipelines, implementing security controls, and optimising performance using Azure services like Synapse Analytics, Databricks, and Data Factory.

**Q: Which Azure services will we work with during your DP-203 Data Engineering on Microsoft Azure training?**
A: During our DP-203 Data Engineering on Microsoft Azure course, you will work hands-on with Azure Data Lake Storage Gen2, Synapse Analytics, Data Factory, Databricks, Event Hubs, Stream Analytics, Purview, and Azure Monitor across practical exercises and lab projects.

**Q: Does the DP-203 Data Engineering on Microsoft Azure certification course include hands-on projects?**
A: Yes, the DP-203 Data Engineering on Microsoft Azure certification course includes five comprehensive projects covering data lake configuration, batch and streaming pipeline development, security implementation, and performance optimisation.

**Q: How does Edoxi’s Online DP-203 Data Engineering on Microsoft Azure course differ from AWS or Google data engineering certifications?**
A: While other cloud providers offer data engineering certifications, the DP-203 Data Engineering on Microsoft Azure training focuses specifically on Microsoft’s ecosystem, including Synapse Analytics, Azure Databricks, and Azure Data Factory, making it ideal for organisations using Azure cloud services.

**Q: What kind of job roles can I pursue after completing the DP-203 Data Engineering on Microsoft Azure course?**
A: Graduates of the DP-203 Data Engineering on Microsoft Azure certification course commonly secure positions as Azure Data Engineers, Big Data Engineers, Cloud Platform Engineers, Data Pipeline Developers, and Analytics Engineers in organisations implementing cloud data solutions.

**Q: What is the expected salary after completing Edoxi’s Online DP-203 Data Engineering on Microsoft Azure certification?**
A: Professionals with a DP-203 Data Engineering on Microsoft Azure certification can earn competitive salaries in the UAE, ranging from USD 4,050 to USD 9,450 per month, depending on experience, role, and organisational size.

**Q: Can we arrange corporate DP-203 Data Engineering on Microsoft Azure training for our organisation?**
A: Yes, DP-203 Data Engineering on Microsoft Azure training can be customised for corporate teams, with tailored content, on-site delivery, and industry-specific case studies aligned with your organisation’s goals.

## Trainer
- Name: Manish Rajpal
- Designation: Corporate Trainer
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.

Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.

## Enrol in This Course
- Course URL: https://www.edoxi.com/data-engineering-on-microsoft-azure-course
- Phone: +971 43801666
- Email: info@edoxi.com