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Technology
Azure Data Engineering
Azure Data Engineering
Curriculum
8 Sections
28 Lessons
13 Weeks
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Module 1: Azure Data Engineering Fundamentals
4
1.1
Introduction to Azure Cloud & Data Engineering Concepts
1.2
Azure Global Infrastructure & Core Data Services (Azure Storage, VMs, IAM)
1.3
Setting Up Azure CLI, SDKs & PowerShell for Data Operations
1.4
Hands-on: Deploy & Configure Azure Storage Accounts
Module 2: Data Storage in Azure
4
2.1
Azure Data Lake Storage (ADLS) – Gen1 vs Gen2
2.2
Azure Blob Storage & Hierarchical Namespace
2.3
Azure SQL Database vs Cosmos DB for Data Engineering
2.4
Hands-on: Build a Data Lake & Implement Access Control
Module 3: Data Ingestion with Azure Data Factory (ADF) (Week 7-10)
4
3.1
Azure Data Factory (ADF) Components & Data Pipelines
3.2
Connecting to On-Prem & Cloud Data Sources (SQL, SAP, API, REST)
3.3
ETL vs ELT: Using ADF to Load Data into Azure Synapse
3.4
Hands-on: Create an ADF Pipeline to Move Data from On-Prem to Azure
Module 4: Big Data Processing with Azure Databricks
4
4.1
Introduction to Apache Spark & Databricks Notebooks
4.2
ETL Processing with Spark & PySpark on Azure Databricks
4.3
Optimizing Performance with Delta Lake
4.4
Hands-on: Process Large Datasets using Databricks & Delta Lake
Module 5: Data Warehousing with Azure Synapse Analytics
4
5.1
Synapse SQL vs Dedicated SQL Pool vs Serverless SQL
5.2
Data Modeling, Indexing, and Performance Tuning
5.3
Data Integration between Synapse, ADF, and Power BI
5.4
Hands-on: Load & Query Large Datasets in Synapse Analytics
Module 6: Streaming & Real-Time Data Processing
3
6.1
Real-Time Data Streaming using Azure Event Hubs & IoT Hub
6.2
Processing Streaming Data with Azure Stream Analytics
6.3
Hands-on: Real-Time Data Pipeline using Event Hubs & Stream Analytics
Module 7: Security, Governance, & Monitoring
4
7.1
Managing Data Security with Azure IAM, Managed Identities, & RBAC
7.2
Data Masking, Encryption, & GDPR Compliance in Azure
7.3
Monitoring & Logging using Azure Monitor & Log Analytics
7.4
Hands-on: Secure a Data Pipeline with RBAC & Monitor Performance
Capstone Project
1
8.1
Industry Use Case Implementation
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