Course Overview
End-to-end data engineering on Azure represents the complete lifecycle of modern data platforms, from ingestion and storage to transformation, orchestration, and analytics.
In this course, you will learn how to design data architectures, build pipelines, and deliver analytics-ready data using Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.
Through practical labs and real-world projects, participants will build complete data platforms covering ingestion, transformation, storage, and consumption layers.
By the end of this course, learners will be able to architect production-ready, end-to-end data engineering solutions on Azure that power enterprise analytics and reporting.
Course Distinction
What makes our course unique?
Unlock Complete Data Platform Expertise
Master the concepts behind building full data platforms from ingestion to analytics, transforming how organizations use data.
Expert-Led Industry Training
Learn from Azure data engineering architects with real-world experience delivering enterprise data platforms.
Hands-On Learning
Build a complete end-to-end data platform on Azure through guided labs and a capstone project.
Practical Enterprise Use Cases
Learn how end-to-end data engineering can transform industries like finance, retail, healthcare, and manufacturing.
Course Content
- Modern data platform architecture
- Azure data engineering ecosystem overview
- Data lake, warehouse, and lakehouse concepts
- Choosing the right Azure services
- Batch and real-time ingestion strategies
- Azure Data Factory for ingestion
- Event Hubs and streaming data ingestion
- Connecting to on-premises and cloud sources
- Azure Data Lake Storage design
- Medallion architecture (Bronze, Silver, Gold)
- File formats and partitioning strategies
- Data organization best practices
- Transformation using Azure Databricks
- Mapping Data Flows in Azure Data Factory
- Batch and streaming transformations
- Data quality and validation
- Azure Synapse Analytics for data warehousing
- Building analytics-ready datasets
- Integration with Power BI
- Serving data to downstream applications
- End-to-end pipeline orchestration
- Identity, access, and data security
- Data cataloging and governance with Purview
- Monitoring and auditing data platforms
- CI/CD for data engineering projects
- Cost and performance optimization
- Scaling for enterprise workloads
- Best practices for production deployments
Capstone Project
Design and build a complete end-to-end data engineering platform on Azure, from raw data ingestion to analytics-ready reporting.
Key Features
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Instructor-led interactive sessions -
Real-world case studies -
Hands-on end-to-end platform build -
Industry recognized certification -
Access to Azure learning resources -
Capstone project
Skills Covered
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage
- Data Architecture & Design
- Data Governance & Security
- End-to-End Pipeline Orchestration
- Cloud Data Platform Deployment
Advancements
Business Impact
FAQ?
Customized Corporate Training
We also provide corporate training programs tailored for organizations looking to build complete data platforms on Azure.
✔ Custom curriculum
✔ Industry-specific use cases
✔ Flexible training delivery
✔ Enterprise consulting support
Who Should Attend
Data Engineers
Data Architects
BI Developers
Cloud Engineers
IT Professionals
Solutions Architects
Build the Future with End-to-End Azure Data Engineering
Become a specialist in Complete Cloud Data Platform Design and Delivery.
✔ Learn from industry experts
✔ Work on real end-to-end data projects
✔ Earn certification
Testimonial
What people are say?

















