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Data Engineering with Microsoft Azure

Learn Data Engineering end-to-end on Microsoft Azure. Start from SQL foundations and data modeling, move into Python-based ETL, and build advanced cloud pipelines using Azure Synapse Analytics, Azure Data Factory, Apache Spark, and Databricks.

12+ students (4.9/5)
Data Engineering with Microsoft Azure

Course Highlights

Duration

3 months

Mentor

Industry Experts

Class mode

Online/Offline

Timing

Weekday/Weekend

Language

Tamil/English

Qualification

Freshers/Experienced

Internship

1 - 3 months

Placement

100% Job Guaranteed

Tools Covered

SQL
SQL
Python
Python
Azure
Azure
Azure Synapse
Azure Synapse
Azure Data Factory
Azure Data Factory
Apache Spark
Apache Spark
PySpark
PySpark
Databricks
Databricks
Git & GitHub
Git & GitHub

Course Curriculum

1Month 1, Week 1: Introduction to Data Engineering & SQL Basics
  • What is Data Engineering? Role of a Data Engineer
  • Data Lifecycle: ETL vs ELT
  • OLTP vs OLAP, Data Warehouse vs Data Lake
  • Batch vs Real-Time Processing
  • Introduction to RDBMS (MySQL / SQL Server)
  • Basic SQL: SELECT, WHERE, ORDER BY, DISTINCT, LIMIT
2Month 1, Week 2: Intermediate SQL
  • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and HAVING clauses
  • Joins: INNER, LEFT, RIGHT, FULL OUTER
  • Subqueries and Nested Queries
  • Set Operations: UNION, INTERSECT, EXCEPT
3Month 1, Week 3: Advanced SQL
  • Window Functions: RANK, ROW_NUMBER, LEAD, LAG
  • Common Table Expressions (CTEs) and Views
  • Data Validation & Reconciliation Queries
  • Query Optimization Basics
  • Hands-on: Business Reporting Queries
4Month 1, Week 4: Data Modeling & Warehousing
  • Star Schema vs Snowflake Schema Design
  • Slowly Changing Dimensions (SCD Types)
  • Fact and Dimension Tables
  • Introduction to Data Warehousing Concepts
  • Mini Project: Build and Validate a Data Warehouse Schema
  • Assessment: SQL & Data Modeling Test
5Month 2, Week 5: Python for Data Engineering
  • Python Basics: Data Types, Loops, Functions
  • Working with Pandas & NumPy
  • File Handling (CSV, JSON, Parquet)
  • API Data Extraction & Automation
  • Error Handling, Logging & Config Management
  • Mini Project: Python-based ETL Script

Batches

Regular Classes
TIME10:00 AM IST
BATCH TYPEWeekday (Mon-Fri)
Fast Track
TIME07:00 PM IST
BATCH TYPEWeekday (Mon-Fri)
Placement Classes
TIME11:00 AM IST
BATCH TYPEWeekend (Sat-Sun)

Frequently
Asked Questions

Still have any Question?

Send us an email and we’ll get back to you as soon as possible!

Do you provide live projects?
Yes, we provide multiple real-time live projects to help you gain hands-on experience.
Do you provide internship opportunities?
Yes, internship opportunities are provided based on performance and availability.
How many real-time applications can I develop after this course?
You can develop 5–10 real-world applications by the end of this course.
Are the trainers working professionals?
Yes, all our trainers are industry experts and working professionals.
Do you support placements?
Yes, we provide 100% placement assistance including interview preparation.
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