DP-203 – Microsoft Azure Data Engineer
Training Title: DP-203 – Microsoft Azure Data Engineer
Course Summary
The DP-203: Microsoft Azure Data Engineer training is designed for IT professionals who want to acquire skills in managing data solutions on Microsoft Azure. This course covers the design and implementation of data solutions in Azure, including database management, data integration, and preparing data for analytics. It also prepares participants for the DP-203 exam to earn the Microsoft Certified: Azure Data Engineer Associate certification.
Training Objectives
- Learn how to design and implement data management solutions on Azure.
- Work with Azure technologies such as Azure SQL Database, Azure Data Lake, Azure Cosmos DB, Azure Synapse Analytics, and more.
- Learn how to integrate data sources, transform data, and load data into an Azure data warehouse.
- Manage and secure data in Azure, ensuring compliance and integrity.
Training Program
Day 1: Introduction to Azure Data Engineering
- Overview of Data Services on Microsoft Azure
- Introduction to Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.
- Understanding the architecture of data solutions in Azure.
Day 2: Designing Data Solutions on Azure
- Analyzing Data Requirements for Designing Tailored Solutions
- Designing data pipelines and architectures for specific workloads.
- Implementing best practices for data management in Azure.
Day 3: Implementing Data Storage Solutions
- Creating and Managing Databases in Azure SQL Database
- Implementing large-scale data storage solutions with Azure Blob Storage and Azure Data Lake.
- Managing both unstructured and structured data with Azure Cosmos DB and other services.
Day 4: Real-Time Data Management and Transformation
- Setting Up Real-Time Data Pipelines with Azure Stream Analytics
- Using Event Hubs and IoT Hub for real-time data collection.
- Scaling data solutions to handle large amounts of real-time data.
- Transforming Data
- Using Azure Data Factory for data orchestration and ETL processes.
- Transforming data with Azure Databricks and Azure Synapse Analytics.
- Implementing hybrid data solutions to integrate on-premises and cloud data.
Day 5: Implementing Data Analytics Solutions and Securing Data
- Designing and Implementing Analytics Solutions with Azure Synapse Analytics
- Using Azure Machine Learning for predictive modeling and advanced analytics.
- Implementing analytics solutions with Power BI and Azure Data Explorer.
- Securing and Managing Data
- Implementing security strategies for data in Azure, including identity and access management.
- Protecting sensitive data with encryption features and privacy policies.
- Monitoring and managing data security with Azure Security Center and Azure Sentinel.
- Optimizing Azure Data Solutions Performance
- Optimizing data warehouse performance with Azure Synapse Analytics.
- Implementing best practices for managing indexes, partitions, and data tables.
- Monitoring performance and troubleshooting data solution issues.
- Preparing for the DP-203 Exam
- Reviewing key concepts and skills needed to pass the DP-203 exam.
- Practice case studies, exercises, and sample questions for exam preparation.
- Tips on resources and study strategies.
Training Details
- Duration: 5 days (40 hours), combining theoretical sessions, practical demonstrations, and interactive exercises.
- Prerequisites:
- Prior experience with databases and cloud solutions, ideally in a Microsoft environment.
- Basic knowledge of cloud services and data analytics concepts.
- Familiarity with SQL, data management, and analytics tools.
- Target Audience:
- Database administrators, data engineers, and IT professionals working with Microsoft Azure.
- Cloud solution developers seeking to deepen their data management skills on Azure.
- Professionals aiming to earn the Microsoft Certified: Azure Data Engineer Associate certification.
Certification
This training prepares you for the DP-203 exam and helps you earn the Microsoft Certified: Azure Data Engineer Associate certification.
Become an expert in data management with Azure Data Engineer and master the essential skills to deploy data solutions in Microsoft Azure!
Features
- Comprehensive Curriculum
- Hands-On Labs & Real-World Scenarios
- Industry-Recognized Certifications
- Security Tools & Technologies
- Cloud & Hybrid Security Focus
- Compliance & Risk Management
- Career Advancement & Job Readiness
Target audiences
- Database administrators
- Data engineers
- IT professionals working with Microsoft Azure
- Cloud solution developers seeking to deepen their data management skills on Azure.
- Professionals aiming to earn the Microsoft Certified: Azure Data Engineer Associate certification.
Requirements
- Prior experience with databases and cloud solutions, ideally in a Microsoft environment.
- Basic knowledge of cloud services and data analytics concepts.
- Familiarity with SQL, data management, and analytics tools.
FAQs
CompTIA Security+, Microsoft SC-900, and Certified in Cybersecurity (CC) from (ISC)² are great starting points.
Beginner courses: 4-8 weeks.
Intermediate certifications: 2-3 months.
Advanced certifications: 4-6 months or longer, depending on experience.
Not always. Security analysts, auditors, and compliance professionals may not require coding.
Ethical hackers and penetration testers benefit from knowledge of Python, Bash, and PowerShell.
IT security focuses on protecting IT infrastructure, networks, and access controls.
Cybersecurity covers a broader scope, including threat intelligence, digital forensics, penetration testing, and compliance.
Yes! Some courses, like CompTIA IT Fundamentals (ITF+), Security+, and Microsoft SC-900, are designed for beginners.
