ETL Testing with Azure – SQL, Data Factory & Databricks and ETL Pipelines for Data Testers – Live Training
(ETL Testing with Azure, ADF, SQL & Databricks through real-time projects & automation)
Unlock the power of data with our hands-on ETL Testing with Azure course! This comprehensive program covers everything from ETL fundamentals to advanced SQL, Azure Data Factory, and Databricks. Designed for both beginners and experienced testers, the course includes real-time project scenarios, test automation, and practical labs. Gain job-ready skills and confidence to work on modern cloud-based data testing environments. Perfect for those aiming to upskill in the world of data and cloud.
About the Instructor:
| Haran is a seasoned data professional with over 13 years of expertise in ETL testing, cloud data integration, and Azure-based data engineering. Throughout his career, he has successfully designed, implemented, and validated complex data pipelines and cloud migration strategies using tools like Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Power BI.
With a strong command of SQL-driven ETL transformations, automated validation frameworks, and real-time data monitoring, Haran brings both technical depth and practical insight to every training session. His teaching approach is highly hands-on, focused on real-world examples and scenario-based exercises that equip learners with project-ready skills in cloud data environments. Renowned for his clarity and approachability, Haran has mentored hundreds of professionals transitioning into cloud data engineering, empowering them with the knowledge and confidence to thrive in Azure analytics roles. |
Sample Videos:
“ETL Automation Testing with Azure & DB Testing – SQL, Data Factory, Databricks and ETL Pipelines for Data Testers ”-Demo Video
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 89 USD Or USD15000 INR 9900 INR 6900 Rupees.
OR
Free Day 1 On:
29th July @ 9 PM – 10 PM (IST) (Indian Timings)/
29th July @ 11:30 AM – 12:30 PM (EST) (U.S Timings)/
29th July @ 4:30 PM – 5:30 PM (BST) (U.K Timings)
Class Schedule:
For Participants in India: Monday to Friday 9 PM – 10 PM (IST)
For Participants in US: Monday to Friday 11:30 AM – 12:30 PM (EST)
For Participants in UK: Monday to Friday 4:30 PM – 5:30 PM (BST)
What student’s have to say about Trainer :
| 👩 Excellent course! The trainer explained every ETL concept in a simple and understandable way. The real-time case studies and Azure demos were super helpful — Asha
👨 Great experience! I joined as a beginner and now feel confident with ETL testing and Azure Data Factory. Highly recommended for freshers and experienced alik — Daniel Smith 👩 Very structured and hands-on. The best part was the live demo using Azure and automation testing concepts. It really helped me understand how things work in the real world. — Sneha P 👨 Content is well-organized, and the SQL practice sessions helped me a lot. The trainer is very knowledgeable and clarifies all doubts patiently. — Mohammed Faisal 👩 Loved the way complex Azure tools like Data Factory and Databricks were explained. The real-time scenarios shared by the trainer gave great insight into project work. — Pavithra R 👨 Perfect course for anyone looking to switch into ETL or cloud testing roles. The trainer’s way of teaching and the detailed syllabus make it totally worth it. — Lina Rodriguez |
Salient Features:
- 35 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Freshers or recent graduates from technical backgrounds (B.Tech, MCA, B.Sc, etc.)
- Manual testers and ETL testers looking to transition into cloud technologies
- SQL developers, BI professionals, and data analysts exploring Azure data services
- Working professionals aiming to move into Data Engineering or Cloud ETL roles
- Anyone interested in learning Azure Data Factory, Data Lake, Synapse, and Power BI
What will I Learn by end of this course?
- Understand the fundamentals of ETLand Data Warehousing
- Gain knowledge of different ETL tools, concepts, and architectures (OLTP vs OLAP, Incremental Loads, etc.)
- Learn how to write and execute ETL test casesbased on real-time business scenarios
- Acquire strong SQL skills, from basic to advanced (joins, subqueries, indexing, window functions, optimization, etc.)
- Work with Azure cloud serviceslike Azure Data Factory, Data Lake, Databricks, and U-SQL
- Build and debug ETL pipelinesin Azure
- Perform ETL testing in Azure environments, including automation techniques
- Understand how to manage data quality, audit controls, and data governance
- Practice with hands-on exercisesand a real-time case study project
Course syllabus:
1️ ETL Testing
🟠Introduction to ETL and Data Warehousing
- What is ETL and Data Warehousing
- Basics of ETL (Extract, Transform, Load)
- Need for ETL
- Goal of ETL
🟠ETL Concepts and Tools
- ETL Tools Overview
- OLTP vs OLAP
- Historical vs Incremental Loads
- Add, Update, and Delete Scenarios
🟠Source and Target System Understanding
- Understanding Different Types of Sources
- Source vs Target Systems
- Data Transformations
🟠Data Governance and Quality Controls
- Metadata, Logs, and Audit Tables
- Data Controls and Technical Controls
🟠ETL Testing Process
- ETL Testing vs Database Testing
- Responsibilities of an ETL Tester
- ETL Testing Lifecycle
- Writing ETL Test Cases
- Real-Time Project Case Study
2️ SQL for ETL Testing
🟠SQL Basics
- Introduction to SQL
- Data Manipulation Language (DML)
- Data Definition Language (DDL)
🟠Intermediate SQL Concepts
- Joins (Inner, Left, Right, Full)
- Aggregate Functions
- Grouping Functions
- Subqueries and Nested Queries
- Views
🟠Advanced SQL Functions
- Date Functions
- Pivot Functions
- Set Operations
- Indexing
- String Functions
- Case Statements
- Common Table Expressions
- Window Functions
🟠Analytical SQL Functions
- Lead and LAG functions
🟠Query Optimization
- Optimization techniques
- User Defined Functions
🟠Hands-on Practice
- Exercises for Each Topic
3️ Azure Cloud & ETL Automation
🟠Azure Fundamentals
- Introduction to Azure
- Azure Components
🟠Azure Data Integration Tools
- Azure Data Factory
- Unified Structured Query Language (U-SQL)
- Azure Data Lake
- Azure Data Analytics
- Azure Databricks
🟠Azure Data Factory Pipelines
- Different type of Pipelines
- Segments of Pipelines
- Create and Debug Pipelines
🟠Azure Databricks
- Notebooks
- DataFrames
- Cluster
🟠Testing and Automation with Azure
- Testing in Azure Environment
- ETL Test Automation with Azure
🟠Demo with free licensed Azure
- Sample Case study for ETL Testing project with Azure components