Complete Azure Data Factory

Description

📜 Description:

Starting with cloud computing fundamentals and core Azure services, the course dives deep into Azure SQL Database, Azure Storage, Azure Data Lake, and Azure Data Factory. You’ll gain hands-on experience in copy activities, pipeline creation, and integrating Azure Data Factory with Spark for scalable data processing.

Through real-world scenarios and projects, you’ll develop the skills to connect multiple services, automate workflows, and manage secure, high-performance data operations — making you job-ready for cloud data engineering and integration roles.

✅ What You Will Learn

☁ Azure & Cloud Computing Foundations

• Cloud Computing Concepts

• Core Azure Services Overview

• Security, Privacy, and Compliance in Azure

• Azure Pricing and Support Models

🗄 Data Storage & Management

• Azure SQL Database Setup & Usage

• Azure Storage Services

• Azure Data Lake for Big Data Storage

🔄 Data Factory & Data Integration

• Azure Data Factory Fundamentals

• Creating & Managing Pipelines

• Working with Copy Activity in ADF

• Practical Scenarios & Use Cases in Data Integration

⚡ Advanced Processing & Integration

• Spark Basics for Data Transformation

• Azure Integration Services for Workflow Automation

🧪 Hands-On Projects

• Building ETL Pipelines in Azure Data Factory

• Copy Activity Project with Real Data Sources

• End-to-End Data Integration Project using ADF, Azure Storage, and Azure SQL

👤 Who Is This Course For?

• Aspiring data engineers wanting to specialize in Azure Data Factory

• Professionals working on data integration and ETL workflows

• Developers transitioning to cloud-based data solutions

• Students preparing for Azure certifications

• Anyone looking to automate and manage large-scale data pipelines in Azure