DP-203 Microsoft Azure Data Engineer
The DP-203T00: Data Engineering on Microsoft Azure course is a comprehensive program designed for professionals aiming to excel in building and managing data solutions on Microsoft Azure. Participants will learn to design and implement data storage, develop and manage data processing, and ensure data security and compliance. The course prepares candidates for the Microsoft Certified: Azure Data Engineer Associate certification, equipping them for careers in data engineering, analytics, and cloud-based data management.
Pre-requisites
Familiarity with cloud computing and fundamental data concepts.
Proficiency in SQL, Python, or Scala for data processing.
Knowledge of data structures, databases, and ETL (Extract, Transform, Load) processes.
Basic understanding of Azure fundamentals.
Course Overview
The DP-203T00-A: Data Engineering on Microsoft Azure course is designed to equip data professionals with the skills and knowledge to design and implement data solutions on the Microsoft Azure platform. This course focuses on building robust data pipelines, optimizing data storage and processing solutions, and integrating security and compliance into the data lifecycle.Participants will gain hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and Azure Stream Analytics. The course also prepares learners for the Microsoft Certified: Azure Data Engineer Associate certification.
Learning Outcomes
By the end of this course, participants will be able to:
- Design and implement scalable data storage and processing solutions on Azure.
- Develop and manage efficient ETL/ELT pipelines for data integration.
- Secure and optimize Azure-based data solutions for performance and compliance.
- Enable real-time analytics and support advanced data modeling and reporting scenarios.
Upcoming Classes
- Sunday
03:00 PM – 05:00 PM
- Thursday
03:00 PM – 05:00 PM | 07:00 AM – 09:00 AM
Benefits
80% Practical Oriented
Job Oriented Training
Expert Members
Best Quality Services
Career Opportunities
Cloud Identity Architect
Security Administrator
Compliance Administrator
Microsoft Identity and Access Administrator
Course Outline
- Introduction to Azure Data Storage Solutions
- Overview of Azure data storage options.
- Selecting the appropriate storage solution based on use case.
- Azure Data Lake
- Creating and managing Azure Data Lake Storage Gen2.
- Managing security and access control for data lakes.
- Azure Blob Storage
- Configuring blob containers and managing blob data lifecycle.
- Implementing data archiving and tiered storage strategies.
- Azure SQL Database and Cosmos DB
- Setting up Azure SQL Database for structured data.
- Exploring NoSQL data solutions with Azure Cosmos DB.
- Data Ingestion and Export
- Using Azure Data Factory and Azure Synapse to ingest data.
- Exporting data to external sources for analysis.
- Data Integration with Azure Data Factory
- Creating pipelines for data movement and transformation.
- Configuring triggers and monitoring pipeline execution.
- Batch Processing with Azure Synapse Analytics
- Designing and implementing batch processing solutions.
- Exploring Synapse Spark and SQL pools for data transformation.
- Stream Processing with Azure Stream Analytics
- Implementing real-time data processing with Azure Stream Analytics.
- Integrating IoT Hub and Event Hub for streaming data.
- Data Processing with Databricks
- Leveraging Azure Databricks for advanced data engineering tasks.
- Writing ETL pipelines using Python or Scala.
- Data Transformation and Cleansing
- Implementing data deduplication, filtering, and enrichment.
- Handling schema drift and format changes in data pipelines.
- Data Security Basics
- Understanding Azure role-based access control (RBAC).
- Configuring firewall rules and private endpoints for storage.
- Encryption and Key Management
- Enabling data encryption at rest and in transit.
- Managing encryption keys with Azure Key Vault.
- Monitoring Data Solutions
- Configuring Azure Monitor for data storage and processing.
- Setting up alerts for data pipeline performance issues.
- Compliance and Governance
- Applying Azure Purview for data discovery and lineage tracking.
- Managing data retention and audit policies.
- Identity and Access Management
- Configuring Multi-Factor Authentication (MFA) and Conditional Access.
- Implementing security best practices for Azure resources.
- Data Integration Best Practices
- Building scalable data pipelines for hybrid cloud environments.
- Integrating on-premises and cloud data sources.
- Optimizing Data Processing
- Applying partitioning and indexing strategies for performance.
- Using caching and compression to reduce latency.
- Orchestration and Automation
- Scheduling and automating workflows using Azure Data Factory.
- Managing dependencies and triggers in complex data workflows.
- Advanced Analytics with Synapse
- Integrating Azure Synapse with Power BI for visualization.
- Using Machine Learning models in Synapse pipelines.
- Cost Management and Optimization
- Monitoring and controlling data storage and processing costs.
- Scaling solutions to match workload demands efficiently.
- End-to-End Data Solution Implementation
- Designing a complete data pipeline using Azure tools.
- Implementing batch and real-time processing for a sample dataset.
- Data Security and Monitoring
- Securing a data platform with RBAC, encryption, and private endpoints.
- Configuring alerts and analyzing performance metrics.
- Optimization and Cost Management
- Refactoring a data solution to improve performance and reduce costs.
- Final Project
- Building and presenting a real-world data engineering solution on Azure.
- Demonstrating skills in data storage, processing, and security.
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FAQs
Professionals aspiring to design and implement data solutions on Microsoft Azure, such as data engineers and IT professionals.
Basic Azure knowledge is helpful but not mandatory; familiarity with data concepts is sufficient.
Yes, this course aligns with the exam objectives and includes mock tests for preparation.
Yes, IT Security Nepal offers both in-person and virtual instructor-led training. Learn more about our training methods.
We provide guidance for a reattempt and resources to strengthen areas of improvement.
Our team assists with resume building, interview preparation, and job placement support in cloud-related roles.