What is Data Engineering?
Overview of Microsoft Azure Cloud
Key Responsibilities of an Azure Data Engineer
Azure Data Engineering Career Path and DP-203 Certification Overview
Azure Storage Options Overview
Azure Data Lake Storage Gen2
Azure Blob Storage
Azure SQL Database
Cosmos DB
Choosing the Right Storage Option
Managing Data Security (Access keys, SAS tokens, RBAC)
Azure Data Factory (ADF)
Linked Services, Datasets, Pipelines
Mapping Data Flows
Triggers and Scheduling
Integration Runtimes and Self-hosted Integration
Ingesting Data from On-prem, REST APIs, FTP, and Cloud
Azure Synapse Analytics
Dedicated SQL pools vs Serverless SQL pools
Writing Queries in Synapse
Azure Databricks
Intro to Apache Spark
Notebooks, Clusters, and Workflows
DataFrames and PySpark
ETL using Spark on Databricks
Azure Stream Analytics
Real-time data processing
Querying live data streams
Star and Snowflake Schema
Dimensional Modeling Techniques
Data Warehousing in Synapse Analytics
Partitioning, Indexing, and Performance Optimization
Building Data Pipelines in ADF
Monitoring and Logging Pipelines
Parameterization and Reusability
Triggering Pipelines based on Events and Schedules
Integrating with Azure DevOps for CI/CD
Data Encryption at Rest and In-Transit
Azure Key Vault for Credential Management
Role-Based Access Control (RBAC)
Data Masking, Purview for Governance
GDPR, HIPAA Compliance Basics
Azure Monitor and Log Analytics
Pipeline and Query Performance Tuning
Cost Management and Optimization Strategies
Managing Quotas and Limits
Connecting Synapse to Power BI
Building Dashboards and Reports
DirectQuery vs Import Modes
Data Refresh and Gateway Configuration
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[Data Sources]
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| Azure Data Factory|
+——————-+
↓
+———————–+ +——————–+
| Azure Data Lake Gen2 | <–→–> | Azure Synapse / SQL |
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↓
+—————–+ +———————-+
| Azure Databricks| –> ML | Power BI / Reporting |
+—————–+ +———————-+
Proficiency in SQL, Python, Spark, ETL
Knowledge of Azure Services (especially Data Factory, Synapse, Databricks)
Understanding of data modeling and data warehousing
Experience with DevOps practices and tools (e.g., CI/CD in data pipelines)
Familiarity with cloud security, monitoring, and governance
| Category | Azure Services |
|---|---|
| Storage | Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL Database, Cosmos DB |
| Data Movement / Ingestion | Azure Data Factory, Azure Synapse Pipelines, Event Hubs, IoT Hub |
| Processing | Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics |
| Orchestration | Azure Data Factory |
| Analytics / BI | Power BI, Synapse Analytics |
| Security | Azure Key Vault, Azure Active Directory, Defender for Cloud |
| Monitoring | Azure Monitor, Azure Log Analytics |
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