Data Engineering on Azure: From Data Warehousing to ETL with ADF
(Learn the essentials of data engineering on Azure – from data warehousing fundamentals and SQL transformations to building end-to-end ETL pipelines with Azure Data Factory. Gain hands-on skills to design, implement, and optimize real-world data solutions.)
Data Engineering on Azure: From Data Warehousing to ETL with ADF is a complete, hands-on guide to mastering modern data engineering in the cloud. You’ll start by building a strong foundation in data warehousing concepts, including OLTP vs. OLAP, schemas, fact and dimension tables, and real-world use cases. You’ll also strengthen your SQL skills with data manipulation, advanced joins, CTEs, and analytical functions, along with strategies for query optimization—essential tools for transforming and preparing data effectively.
From there, the course takes you into the Azure ecosystem, where you’ll work with Azure Blob Storage, Data Lake Storage Gen2, and Azure Data Factory. Through step-by-step practice, you’ll learn how to design and build pipelines, ingest and transform data, and orchestrate workflows in a cloud-based environment. The capstone project ties everything together, giving you the opportunity to design and deliver a real-world ETL solution end to end. By the end of this course, you’ll have the skills and confidence to implement scalable data engineering solutions on Azure.
About the Instructor:
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Rohith is a skilled data engineer and ETL specialist with 8 years of hands-on experience designing and implementing data pipelines and architectures. Having worked as an ETL Developer at Cognizant, he has real-world exposure to transforming, modeling, and integrating data across diverse systems. He combines his technical depth in SQL, data warehousing, and cloud ETL with a passion for teaching, enabling learners to go beyond theory and build scalable, production-ready solutions. As an instructor, Rohith brings a practical, example-driven approach—breaking down complex topics into digestible modules and guiding you through live coding, architecture diagrams, and project-based assignments. He understands the challenges of working with real data: latency, schema drift, data quality, and orchestration. His teaching style focuses on clarity, problem-solving, and preparing students for real-world data engineering roles. Through this course, Rohith aims to mentor learners to confidently design, build, and deploy end-to-end ETL solutions on Azure, aligning theory with industry best practices. Over the years, he has successfully delivered 20+ batches and trained more than 400 students across diverse domains, guiding many of them to transition into data engineering roles and accelerate their careers. |
“Data Engineering on Azure: From Data Warehousing to ETL with ADF-Live Training. Demo Video
“Data Engineering on Azure: From Data Warehousing to ETL with ADF- Live Training Day1 Video.
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 89 USD Or USD13000 INR 12900 INR 6900 Rupees
OR
What will I learn by the end of this course?
- Understand the fundamentals of data warehousing, including OLTP vs OLAP, star/snowflake schemas, and fact/dimension tables.
- Write efficient SQL queries for data manipulation, advanced transformations, analytical functions, and performance optimization.
- Work with Azure Storage services like Blob Storage and Data Lake Storage Gen2 to manage and store large datasets.
- Build, monitor, and orchestrate end-to-end ETL pipelines using Azure Data Factory (ADF).
- Perform code-free data transformations using Mapping Data Flows.
- Apply best practices for data quality, accuracy, and optimization in real-world ETL scenarios.
- Design and deliver a capstone project that simulates an industry-level ETL solution on Azure.
Day1 Session:
21st October @ 9:00 PM – 10:00 PM (IST) (Indian Timings)
21st October @ 11:30 AM – 12:30 PM (EST) (U.S Timings)
21st October @ 4:30 PM – 5:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What students have to say about Rohith:
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👩 Alisha Khan 👨 David Smith 👩 Fatima Al-Hassan 👨 Rajesh Iyer 👩 Lucia Gonzalez 👨 Mohammed El-Sayed |
Salient Features:
- 25 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll for this course?
- Aspiring Data Engineers looking to build strong skills in data warehousing, SQL, and ETL on Azure.
- BI Developers and Analysts who want to enhance their ability to manage and transform data effectively.
- Software Developers aiming to transition into data engineering or work with cloud-based data solutions.
- Students and Fresh Graduates seeking practical, hands-on experience in Azure Data Factory and ETL pipelines.
- IT Professionals and Data Enthusiasts interested in understanding end-to-end data engineering workflows, from ingestion to transformation and orchestration.
- Anyone looking to gain industry-ready skills for building, deploying, and managing scalable ETL solutions in a real-world Azure environment.
Course syllabus:
Module 1: Data Warehousing Fundamentals
- Introduction to Data Warehousing:
- What is a data warehouse?
- Its purpose
- Its role in business intelligence?
- Key Concepts:
- Understanding OLTP vs. OLAP
- Star schema
- Snowflake schema
- Fact and dimension tables
- Data Modeling:
- Techniques for designing effective data models for a data warehouse.
- Data Lake vs. Data Warehouse:
- The differences and how they are used together.
- Real-world Use Cases:
- Analyzing case studies of data warehouse implementations in various industries.
Module 2: SQL for Data Engineering
- SQL for Data Manipulation:
- Writing queries to select, insert, update, and delete data.
- Advanced SQL for Transformation:
- Mastering joins, subqueries, and Common Table Expressions (CTEs) to transform and combine data.
- Analytical Functions:
- Using window functions and aggregate functions to perform complex calculations on datasets.
- Query Optimization:
- Strategies for writing efficient SQL queries and understanding query execution plans to improve performance.
Module 3: Azure Services for ETL
- Azure Fundamentals:
- Introduction to the Azure cloud platform and its core services for data.
- Storage Services:
- Understanding and using Azure Blob Storage
- Azure Data Lake Storage Gen2 for storing large datasets.
Module 4: Azure Data Factory (ADF)
- Introduction to ADF:
- The purpose of ADF as a cloud-based ETL
- Data orchestration service.
- Building Your First Pipeline:
- A hands-on walkthrough of creating a simple pipeline to move data between sources.
- Data Ingestion:
- Using the Copy Data activity to efficiently load data from various sources to a data warehouse.
- Data Transformations:
- Performing code-free data transformations using Mapping Data Flows.
- Pipeline Orchestration:
- Scheduling, monitoring, and managing complex workflows.
Module 5: Capstone Project
- Project Planning:
- Designing an end-to-end ETL solution based on a real-world business case.
- Implementation:
- Building and deploying the complete ETL pipeline using the skills acquired throughout the course.
- Testing and Validation:
- Ensuring data quality and accuracy within the pipeline.
- Final Delivery:
- Presenting the completed project, including documentation and a walkthrough of the solution.
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 89 USD Or USD13000 INR 12900 INR 6900 Rupees