Overview of Cloud Computing & Azure
Azure Portal and Subscriptions
Role of a Data Engineer
Azure Services Overview (ADF, Synapse, Databricks)
Azure Storage Accounts
Azure Blob Storage
Azure Data Lake Storage Gen1 & Gen2
Hierarchical Namespace
Storage Access – Keys, SAS, IAM
Introduction to ADF
Linked Services & Datasets
Pipelines & Activities
Mapping Data Flows
Triggers & Integration Runtime
Data Movement & Orchestration
Real-time Projects with ADF
Introduction to Synapse
Dedicated vs Serverless SQL Pools
Data Ingestion using COPY & CTAS
T-SQL for Synapse
Data Distribution & Partitioning
Data Modeling & Warehousing Concepts
Introduction to Apache Spark & Databricks
Databricks Workspace & Notebooks
DataFrames, Datasets, Spark SQL
Mounting Azure Data Lake
ETL Operations in Databricks
Delta Lake & Versioning
Introduction to Power BI
Connecting Power BI to Azure Sources
Data Modeling & Visualizations
Publishing Reports & Dashboards
Power BI Service & Gateways
Monitoring Data Pipelines
Logging & Alerts in ADF/Synapse
Data Security – RBAC, Key Vault
Cost Optimization Best Practices
End-to-End Data Pipeline Project
ETL Using ADF + Databricks
Data Warehousing using Synapse
Power BI Dashboard with Azure Data
Microsoft DP-203: Azure Data Engineer Associate Certification Guidance
Interview Questions & Mock Interviews
Resume Building & Job Support
Basic knowledge of SQL & Python (optional support will be provided)
Understanding of Data Warehousing is a plus
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Azure Data Engineering is widely used across industries where data management, analytics, and cloud computing are critical.
Building and managing data pipelines on Azure ETL/ELT processes using Azure Data Factory & Databricks Data warehousing with Azure Synapse Analytics
Real-time fraud detection and risk analysis Customer transaction analysis using data pipelines
Customer behavior analysis and personalization Inventory and sales forecasting
Patient data processing and analytics Medical image and record management via Azure Data Lake
Student performance tracking Learning analytics dashboards
Population data analytics Real-time decision-making in public services
Azure Data Engineering is widely used across industries where data management, analytics, and cloud computing are critical. Here are key use cases and industries where Azure Data Engineering plays a major role
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