Azure Data Engineering

Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

Azure Data Engineering

About Course

Learn Azure Data Engineering through a practical, industry-oriented program focused on building modern cloud-based data solutions. This course covers Azure data engineering fundamentals, data ingestion, data transformation, data storage, ETL/ELT pipelines, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, SQL, and data processing concepts. You’ll learn how to design and implement scalable data pipelines that can collect, transform, and organize data from multiple sources.

Duration: 16 Weeks

Category: Coding/Development

Skill Level: Beginner – Intermediate

Modules:     16

Subjects & Expertise

With expertise in Microsoft Azure and cloud data engineering, the training focuses on data ingestion, transformation, orchestration, storage, analytics, and pipeline development. Learners will understand how different Azure data services work together to build modern, scalable, and secure data platforms for enterprise applications.

The course combines instructor-led sessions with hands-on labs, real-world datasets, practical assignments, and end-to-end data engineering projects. Students gain experience working with Azure Data Factory, Data Lake Storage, Synapse Analytics, SQL, data pipelines, data transformations, monitoring, and performance optimization.

Weeks

Week 1

  • Data Engineering Fundamentals
  • OLTP vs OLAP
  • ETL vs ELT
  • Data Lake vs Data Warehouse
  • Medallion Architecture

Week 2

  • Azure Fundamentals
  • Resource Groups
  • Storage Accounts
  • Azure Portal
  • Monitoring Basics

Week 3

  • ADLS Gen2
  • Containers
  • Access Control
  • Lifecycle Management
  • Storage Best Practices

Week 4

  • Data Warehouse Modeling
  • Star Schema
  • Snowflake Schema
  • Fact & Dimension Tables
  • SCD Concepts

Week 5

  • ADF Architecture
  • Linked Services
  • Datasets
  • Pipelines
  • Triggers

Week 6

  • Copy Activity
  • SQL to ADLS
  • File Ingestion
  • Performance Optimization

Week 7

  • ADF Parameters
  • Variables
  • Lookup Activity
  • ForEach Activity
  • Dynamic Pipelines

Week 8

  • Incremental Load
  • CDC Concepts
  • Watermark Logic
  • Error Handling
  • Audit Framework

Week 9

  • Azure Databricks
  • Clusters
  • Notebooks
  • Workspace Management

Week 10

  • PySpark DataFrames
  • Transformations
  • Actions
  • File Processing

Week 11

  • Joins
  • Aggregations
  • Window Functions
  • Partitioning
  • Caching

Week 12

  • Delta Lake
  • MERGE
  • Time Travel
  • Bronze-Silver-Gold Architecture

Week 13

  • Azure Synapse
  • Dedicated SQL Pool
  • Serverless SQL Pool
  • Reporting Layer

Week 14

  • RBAC
  • Managed Identity
  • Azure Key Vault
  • Data Security
  • Governance

Week 15

  • Azure DevOps
  • Git Integration
  • CI/CD
  • Release Pipelines

Week 16

  • Capstone Project
  • ADF
  • Databricks
  • ADLS
  • Synapse
  • Interview Preparation