Data Engineering on Microsoft Azure
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.
- DP-203
- Classroom · Live Online · One-on-One
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.
- 80% Practical Oriented
- Job Oriented Training
- Expert Members
- Best Quality Services
What you'll be able to do
- 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.
Curriculum
5 modules, each with hands-on lab work
01 Azure Data Storage
- Introduction to Azure Data Storage SolutionsOverview of Azure data storage options
- Selecting the appropriate storage solution based on use case
- Azure Data LakeCreating and managing Azure Data Lake Storage Gen2
- Managing security and access control for data lakes
- Azure Blob StorageConfiguring blob containers and managing blob data lifecycle
- Implementing data archiving and tiered storage strategies
- Azure SQL Database and Cosmos DBSetting up Azure SQL Database for structured data
- Exploring NoSQL data solutions with Azure Cosmos DB
- Data Ingestion and ExportUsing Azure Data Factory and Azure Synapse to ingest data
- Exporting data to external sources for analysis
02 Design and Develop Data Processing
- Data Integration with Azure Data FactoryCreating pipelines for data movement and transformation
- Configuring triggers and monitoring pipeline execution
- Batch Processing with Azure Synapse AnalyticsDesigning and implementing batch processing solutions
- Exploring Synapse Spark and SQL pools for data transformation
- Stream Processing with Azure Stream AnalyticsImplementing real-time data processing with Azure Stream Analytics
- Integrating IoT Hub and Event Hub for streaming data
- Data Processing with DatabricksLeveraging Azure Databricks for advanced data engineering tasks
- Writing ETL pipelines using Python or Scala
- Data Transformation and CleansingImplementing data deduplication, filtering, and enrichment
- Handling schema drift and format changes in data pipelines
03 Secure and Monitor Data Platforms
- Data Security BasicsUnderstanding Azure role-based access control (RBAC)
- Configuring firewall rules and private endpoints for storage
- Encryption and Key ManagementEnabling data encryption at rest and in transit
- Managing encryption keys with Azure Key Vault
- Monitoring Data SolutionsConfiguring Azure Monitor for data storage and processing
- Setting up alerts for data pipeline performance issues
- Compliance and GovernanceApplying Azure Purview for data discovery and lineage tracking
- Managing data retention and audit policies
- Identity and Access ManagementConfiguring Multi-Factor Authentication (MFA) and Conditional Access
- Implementing security best practices for Azure resources
04 Integrate and Optimize Data Solutions
- Data Integration Best PracticesBuilding scalable data pipelines for hybrid cloud environments
- Integrating on-premises and cloud data sources
- Optimizing Data ProcessingApplying partitioning and indexing strategies for performance
- Using caching and compression to reduce latency
- Orchestration and AutomationScheduling and automating workflows using Azure Data Factory
- Managing dependencies and triggers in complex data workflows
- Advanced Analytics with SynapseIntegrating Azure Synapse with Power BI for visualization
- Using Machine Learning models in Synapse pipelines
- Cost Management and OptimizationMonitoring and controlling data storage and processing costs
- Scaling solutions to match workload demands efficiently
05 Case Studies and Hands-On Labs
- End-to-End Data Solution ImplementationDesigning a complete data pipeline using Azure tools
- Implementing batch and real-time processing for a sample dataset
- Data Security and MonitoringSecuring a data platform with RBAC, encryption, and private endpoints
- Configuring alerts and analyzing performance metrics
- Optimization and Cost ManagementRefactoring a data solution to improve performance and reduce costs
- Final ProjectBuilding and presenting a real-world data engineering solution on Azure
- Demonstrating skills in data storage, processing, and security
How you'll learn
Hands-on labs
Around 90% of class time is practical work on real systems.
Real-world scenarios
Case studies and troubleshooting tasks modelled on real jobs.
Exam preparation
Exam-style tasks and guidance for the certification.
Prerequisites
- 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.
Not there yet? Start with Microsoft Azure Administrator.
Training options
Individual
Join a public batch: classroom, live online or one-on-one.
Group
Private batch for your friends, classmates or team.
Corporate batch
Private batch for your organisation's staff.
Training methods
Classroom, live virtual, one-on-one and flip class.
Upcoming batches
No batch scheduled yet
Leave your details and we'll tell you when the next batch opens, or ask about a private group batch.
Career opportunities
Roles this course prepares you for:
- Cloud Identity Architect
- Security Administrator
- Compliance Administrator
- Microsoft Identity and Access Administrator
Frequently asked questions
Who is this course for?
Professionals aspiring to design and implement data solutions on Microsoft Azure, such as data engineers and IT professionals.
Do I need prior experience in Azure?
Basic Azure knowledge is helpful but not mandatory; familiarity with data concepts is sufficient.
Will this course prepare me for the DP-203 certification exam?
Yes, this course aligns with the exam objectives and includes mock tests for preparation.
Can I access training remotely?
Yes, IT Security Nepal offers both in-person and virtual instructor-led training. Learn more about our training methods.
What happens if I fail the certification exam?
We provide guidance for a reattempt and resources to strengthen areas of improvement.
What kind of job support is offered?
Our team assists with resume building, interview preparation, and job placement support in cloud-related roles.
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