# DP-203 Data Engineering on Microsoft Azure 

> Edoxi’s 32-hour DP-203 Data Engineering on Microsoft Azure course in Dubai. Learn Data Lake, pipelines, security, Delta Lake & Purview to build Azure skills.

## Course Details
- Rating: 4.9/5 (100 reviews)
- Location: Dubai, UAE
- Category: Cloud Computing
- Sub-Category: Microsoft Azure

## Course Introduction
Edoxi’s 32-hour Data Engineering on Microsoft Azure (DP-203) Training in Dubai builds expertise in Azure data storage, pipelines, and security.​ Learn to set up Azure Data Lake, create batch & streaming pipelines, and apply strong security controls. Gain hands-on experience with Delta Lake, Microsoft Purview, pipeline optimisation, and real-world data engineering projects. Enrol now to build Azure data engineering skills & grow your cloud career in Dubai.

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

## Frequently Asked Questions

**Q: What are the prerequisites for joining this DP-203 Data Engineering on Microsoft Azure course in Dubai?**
A: The course requires basic knowledge of SQL, Python, and fundamental data modelling concepts. We provide pre-course materials to help beginners establish the necessary foundation before attending the main training sessions.

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

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

**Q: Does Edoxi’s DP-203 Data Engineering on Microsoft Azure certification validate your skills?**
A: Yes. Edoxi’s DP-203 Data Engineering on Microsoft Azure certification validates your Azure data engineering skills. It is highly valued by UAE employers, especially in banking, retail, and government sectors, for migrating data workloads to Azure.

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

**Q: Can we arrange DP-203 Data Engineering on Microsoft Azure corporate training for our organisation?**
A: Yes, we offer customised corporate training options that can be tailored to your organisation's specific requirements, including on-premises delivery and custom case studies relevant to your industry.

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

**Q: Which Azure services will we work with during the DP-203 Data Engineering on Microsoft Azure training?**
A: You'll work with Azure Data Lake Storage Gen2, Synapse Analytics, Data Factory, Databricks, Event Hubs, Stream Analytics, Purview, and Azure Monitor throughout the various practical exercises.

**Q: What salary can a DP-203–level Data Engineer expect in Dubai?**
A: DP-203–Level Data Engineers in Dubai can expect competitive salaries. Mid-level professionals typically earn between USD 50,000 and 80,000 annually. Senior engineers with advanced cloud and AI/ML skills may earn USD 90,000–120,000 or more, reflecting strong market demand for cloud data expertise.

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

**Develop Data Processing Solutions**
Build batch and streaming pipelines using Data Factory and Synapse Analytics. Implement Delta Lake with Spark to manage schema drift and ensure data quality.

**Design and Implement Data Storage**
Configure Azure Data Lake Storage with hierarchical namespaces. Apply partitioning strategies while tracking data assets using Microsoft Purview.

**Prepare for Microsoft Certification**
Master exam objectives aligned with the DP-203 certification requirements. Practice with scenario-based exercises that simulate the actual assessment format.

**Apply Cloud Data Engineering Best Practices**
Implement cost-effective data processing strategies using Azure's native capabilities. Follow industry-standard methodologies for cloud-based data engineering workloads.

**Secure, Monitor and Optimise Data Solutions**
Implement comprehensive security controls, including RBAC and dynamic data masking. Configure monitoring tools and performance tuning techniques for optimal pipeline efficiency.

**Build Enterprise-Grade Solutions**
Design scalable data architectures using Microsoft's recommended patterns. Implement resilient pipelines that meet enterprise standards for production environments.

## About This Course
## About Our DP-203T00: Data Engineering on Microsoft Azure Training in Dubai

​Edoxi’s 32-hour Microsoft-certified DP-203 Data Engineering on Microsoft Azure training in Dubai equips data professionals with essential skills for cloud data engineering workloads.​ This intermediate course offers in-depth training on Azure data platforms for data architects and BI specialists. The DP-203 Data Engineering on Microsoft Azure training includes extensive hands-on lab exercises using Azure Data Lake Storage, Synapse Analytics, and Databricks, allowing participants to engage with real-world scenarios. The DP-203 trains learners to manage data pipelines, real-time streaming, security, lineage, and performance on Azure.

Our Data Engineering on Microsoft Azure course curriculum covers the design and implementation of data storage solutions. It also focuses on developing batch and stream data processing workflows. The course addresses securing, monitoring, and optimising data solutions for performance and reliability. Key topics include Azure Data Lake Storage Gen2, Azure Synapse Analytics, Microsoft Purview, Azure Data Factory, Apache Spark, Azure Event Hubs, and Stream Analytics.

Although the DP-203 certification and exam have been retired, our DP-203 training course remains available and continues to deliver strong foundational and practical skills in cloud-based data engineering. Microsoft has introduced DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric as the successor certification, aligned with the Microsoft Fabric Data Engineer Associate role.

Upon completing the DP-203 Data Engineering on Microsoft Azure course, you will receive Edoxi’s course completion certificate. This credential validates your ability to design, implement, secure, and optimise modern data engineering solutions using Azure technologies.

Enrol now to build practical Azure data engineering skills and advance your career in Dubai’s growing data and cloud technology ecosystem.

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## Key Features of Edoxi's Data Engineering on Microsoft Azure (DP-203) Course

**Interactive Discussion Sessions**
Engage in expert-led discussions covering architectural decisions, best practices, and real-world implementation challenges in Azure.

**Microsoft Azure Cloud Environment**
Access fully-configured Azure environments for practical implementation of data engineering concepts and real-world scenarios.

**Enterprise-Grade Security Implementation**
Practice implementing RBAC, ACLs, and dynamic data masking to secure Azure data assets according to industry standards.

**Performance Tuning Workshops**
Master techniques for optimising Synapse queries and troubleshooting Spark jobs through dedicated performance-focused lab sessions.

## Who Can Join Our Data Engineering on Microsoft Azure (DP-203) Training in Dubai

**Data Professionals and Architects**
Experienced data professionals and architects seeking to expand their expertise into cloud-based data engineering with Microsoft Azure technologies.

**Business Intelligence Specialists**
BI specialists looking to enhance their skill set with cloud data platform capabilities to build more sophisticated analytical solutions.

**Cloud Engineers and Developers**
Technical professionals with cloud experience wanting to specialise in data engineering workloads and pipelines on Azure.

**SQL and Python Practitioners**
Individuals with fundamental SQL and Python skills ready to apply their knowledge to enterprise-scale data solutions in the cloud.

**IT Professionals Transitioning to Cloud**
IT specialists transitioning from on-premises data systems to cloud-based architectures, seeking career advancement.

**Analytics and Data Science Teams**
Analytics professionals and data scientists who work with or build analytical solutions on Microsoft Azure platforms.

## 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 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 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 with Purview

### Module 6: Monitor and Optimize Data Solutions

**Chapter 6.1: Monitoring**
- Lesson 6.1.1: Azure Monitor and Log Analytics
- Lesson 6.1.2: Monitoring pipelines and stream 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

**Create and Configure a Data Lake**
Design and implement Azure Data Lake Storage Gen2 with appropriate folder hierarchy and access integration for analytical workloads.

**Implement Partitioning Strategies**
Apply time-based and category-based partitioning to optimise query performance and manage data lifecycle across storage tiers.

**Register and Track Data Assets in Purview**
Configure Microsoft Purview to automatically catalogue data sources, establish lineage, and implement classification for governance requirements.

**Build Data Ingestion Pipelines**
Develop Azure Data Factory pipelines to extract data from multiple sources with appropriate transformation and loading patterns.

**Create Real-time Data Streaming Pipeline**
Implement Event Hubs and Stream Analytics to process continuous data streams with windowing functions and analytical outputs.

**Implement RBAC, ACLs and Dynamic Data Masking**
Configure role-based security, access control lists, and column-level masking to protect sensitive data across the platform.

## Data Engineering on Microsoft Azure (DP-203) Outcome and Career Opportunities in Dubai
By completing the DP-203 Data Engineering on Microsoft Azure training in Dubai, you will gain practical skills to design, build, and manage secure, scalable data solutions on Azure. The key outcomes include:

- Modernise Data Infrastructure by migrating on-premises systems to secure, scalable cloud architectures aligned with modern cloud adoption practices.
- Optimise Operational Costs using efficient, Azure-native data processing and storage strategies to reduce infrastructure and maintenance expenses.
- Enable Data-Driven Decisions by designing data solutions that transform raw data into reliable, actionable business insights.
- Implement Scalable Data Solutions through enterprise-ready architectures and resilient pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Ensure Data Governance and Compliance by applying security controls, access management, data masking, and lineage tracking with Microsoft Purview.
- Gain a Competitive Career Advantage with in-demand cloud data engineering skills valued across industries adopting cloud-based data platforms.

## Job Roles After Completing the Data Engineering on Microsoft Azure (DP-203) Course in Dubai
Data Engineers, Azure Data Engineer, Big Data Engineer, Business Intelligence Engineer, Cloud Data Engineer, Cloud Platform Engineer

## Companies Hiring Data Engineering on Microsoft Azure (DP-203) Course in Dubai
Emirates, ValueLabs, Careem, Millennium, Al-Futtaim, Revolut, BBGC, Dicetek LLC, NorthBay Solutions, BlackStone eIT

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

**Classroom Training**
- 32 hours DP-203 Data Engineering on Microsoft Azure Training
- Hands-on Azure Lab Sessions
- Interactive Architectural Discussions
- Small Batch Sizes for Personalised Attention
- Collaborative Problem-Solving Exercises

**Live Online Training**
- 32 hours online DP-203 Data Engineering on Microsoft Azure Training
- Virtual Azure Environment Access
- Real-time Instructor Interaction
- Flexible Schedule for Working Professionals
- Recorded Sessions for Revision

**Corporate Training**
- 4 days DP-203 Data Engineering on Microsoft Azure Corporate Training
- Customised Content for Organisation Needs
- Training delivered at a selected hotel, client premises, or Edoxi
- Fly-Me-a-Trainer Option
- Food and refreshments provided for corporate teams

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

1. Join Edoxi’s DP-203 Data Engineering on Microsoft Azure Certification Course.
2. Attend our Expert-led DP-203 Data Engineering on Microsoft Azure Training.
3. Complete the DP-203 Data Engineering on Microsoft Azure Classes.
4. Earn your DP-203 Data Engineering on Microsoft Azure course completion certificate.

## Why Choose Edoxi for a Data Engineering on Microsoft Azure (DP-203) Course in Dubai?
Among the many options available, Edoxi is the best choice. Here’s why Edoxi’s DP-203 Data Engineering on Microsoft Azure training is the perfect fit for your needs:


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

**Azure-Certified Data Engineering Specialists**
Our instructors hold active Microsoft certifications and have implemented enterprise 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**
Our limited batch sizes and low student-to-trainer ratio ensure individualised attention, addressing each participant's specific learning challenges.

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

**Proven Regional and Global Reach**
Edoxi has its presence across GCC, including the UAE, Saudi Arabia, and Europe, and is growing in European markets.

## 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/dubai/data-engineering-on-microsoft-azure-course
- Phone: +971 43801666
- Email: info@edoxi.com