Azure Data Engineering Course

A Microsoft Azure Data Engineer is responsible for designing, building, managing, and optimizing data pipelines and storage solutions in the Azure cloud. They ensure secure, scalable, and efficient data integration from various sources, supporting real-time analytics and business intelligence. Azure Data Engineers work with services like Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and Databricks to deliver high-performing data solutions. They play a vital role in enabling data-driven strategies across industries such as retail, finance, healthcare, and tech.

Learning Azure Data Engineering can land you in roles like:

•  Azure Data Engineer
•  Cloud Data Engineer
•  Big Data Engineer
•  Data Platform Engineer
•  Azure Synapse Specialist
•  ETL/Data Pipeline Developer
•  Data Lake Architect
•  Azure Databricks Developer
•  Data Integration Consultant
•  Cloud Solution Architect

Azure Data Engineering course from SQLSchool consists of two modules:

• Module 1: MSSQL
• Module 2: Azure Data Engineer

Module 1: MSSQL

The course begins with the introduction to SQL , database types, and the essential role of a Database Administrator (DBA). You’ll learn how to install and configure SQL Server (2019 & 2022), set up SSMS tools, and explore authentication modes, instance types, and file streams.

In this module, you’ll master:

1. Core commands (DDL, DML, DQL)
2. Database Design
3. Data imports & Schemas
4. Constraints & RDBMS
5. Keys & Indexes
6. Joins Queries
7. Views and RLS
8. Stored Procedures
9. Transactions & ACID
10. Functions (UDF)
11. Triggers & Automations
12. Database Architecture & Server Architecture
13. Linked Servers, Remote Joins
14. Temp Tables, Cascading keys
15. Normal Forms, Self Joins
16. Group By Queries
17. Group By with Joins
18. Merge, Rank Functions

Module 2: Azure Data Engineering

In this module, you will start with the fundamentals of Azure, including SQL Server basics, data storage, and cloud deployment concepts. You’ll then progress into hands-on training with Azure Data Factory, Synapse Analytics, Storage Accounts, and advanced modules like Databricks and Spark. Each section is designed to gain practical knowledge step by step with real-time examples and tools. The course curriculum ensures you not only understand the concepts but also apply them in real-world data engineering tasks. By the end of the training, you’ll be able to handle complete end-to-end projects.

This module includes

1. Azure Data Factory
2. Azure SQL Pool (Synapse)
3. ADF Pipelines, Data Flows
4. ADF Optimization
5. ETL Security & IR connections
6. Synapse Analytics
7. Synapse Studio
8. Azure Storage
9. Azure SQL DB Migrations
10. Azure Stream Analytics Jobs
11. Azure Logic Apps
12. Azure CI-CD Concepts
13. Databricks Files System
14. Databricks Notebooks
15. SQL Notebooks
16. Medallion Architecture
17. Python & PySpark
18. Scala
19. Databricks Architecture
20. Data Governance & Unity Catalog
21. ADF with Databricks Integration
22. ADF with Databrick & ADLS Integration
23. Real-Time Project

Master Azure Data Engineering with Real-Time Cloud Projects!

Join SQL School, India’s most trusted platform for hands-on Azure Data Engineer training – designed for professionals and freshers.

✅ Learn Azure Data Factory, Data Lake, Synapse, and Databricks
✅ Build and automate real-time ETL pipelines in the cloud
✅ Access to live cloud labs, case studies, and project support
✅ Master end-to-end workflows: Ingestion, Transformation, Monitoring
✅ Training by Sai Phanindra – 19+ Years of Data Platform Expertise
✅ Certification Preparation for DP-203 with placement guidance

📞 Call Now: +91 96666 40801
🌐 Visit 👉 www.sqlschool.com for a FREE Demo Session!

🚀 SQL School – Your Real-Time Gateway to Cloud Data Engineering Careers