Azure Data Factory Training Certified Course

The Azure Data Factory Training Certified Course is designed to help learners develop the skills required to build, automate, and manage data integration and ETL (Extract, Transform, Load) workflows using Microsoft Azure Data Factory. This course covers data pipelines, linked services, datasets, activities, triggers, data flows, integration runtimes, and connections to various data sources such as Azure SQL Database, Azure Blob Storage, and other cloud platforms. Students will gain hands-on experience in designing automated data workflows, transforming data, monitoring pipeline execution, and implementing secure and scalable data integration solutions through real-time projects. This training is suitable for aspiring data engineers, data analysts, cloud professionals, and IT professionals who want to enhance their Azure data engineering skills and advance their careers in cloud-based data management.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

CAREER OPPORTUNITIES AFTER Azure Data Factory Training Certified Course:

• Azure Data Factory Developer
• Azure Data Engineer
• ETL Developer
• Data Integration Engineer
• Data Pipeline Developer
• Cloud Data Engineer
• Azure ETL Consultant
• Data Warehouse Developer
• Business Intelligence Developer
• Data Engineering Consultant
• Azure Data Integration Specialist
• Cloud Analytics Engineer

ESSENTIAL SKILLS YOU WILL DEVELOP Azure Data Factory Training Certified Course:

• Azure Data Factory Architecture
• ETL and ELT Pipeline Development
• Data Ingestion and Integration
• Linked Services and Datasets
• Pipeline Activities and Orchestration
• Data Flow Transformations
• Parameters and Variables
• Triggers and Scheduling
• Incremental Data Loading
• Error Handling and Debugging
• Pipeline Monitoring and Optimization
• Data Security and Access Management

TOOLS COVERED:

• Microsoft Azure
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2
• Azure Blob Storage
• Azure SQL Database
• Azure Synapse Analytics
• Azure Databricks
• SQL Server
• Self-hosted Integration Runtime
• Azure Key Vault
• Azure Monitor
• Azure DevOps
• Power BI

SYLLABUS:

Module 1: Azure Data Factory Fundamentals

• Introduction to Cloud Data Integration
• Azure Data Factory Architecture and Components
• Azure Portal and ADF Studio Navigation

Module 2: Linked Services and Datasets

• Creating and Configuring Linked Services
• Working with Datasets and Source Connections
• Integration Runtime Configuration

Module 3: Pipeline Development

• Creating Pipelines and Activities
• Copy Data Activity and Data Movement
• Pipeline Dependencies and Control Flow

Module 4: Data Sources and Integration

• Azure SQL Database and SQL Server Integration
• Azure Blob Storage and Data Lake Integration
• Connecting to Cloud and On-Premises Data Sources

Module 5: Data Transformation

• Mapping Data Flows and Transformations
• Data Cleansing, Filtering and Derived Columns
• Integration with Azure Databricks and Synapse Analytics

Module 6: Parameters and Dynamic Pipelines

• Pipeline Parameters and Variables
• Dynamic Content and Expressions
• Reusable and Metadata-Driven Pipelines

Module 7: Triggers and Incremental Loading

• Schedule, Tumbling Window and Event-Based Triggers
• Incremental Data Loading Strategies
• Change Data Capture Concepts and Watermarking

Module 8: Error Handling and Monitoring

• Pipeline Error Handling and Retry Policies
• Debugging and Execution Monitoring
• Alerts, Logging and Failure Notifications

Module 9: Security and Deployment

• Managed Identities and Azure Key Vault
• Access Control and Secure Data Connections
• Git Integration, CI/CD and Environment Deployment

Module 10: Real-Time Azure Data Factory Projects

• End-to-End ETL Pipeline Development
• Incremental Data Integration Project
• Automated Pipeline Monitoring and Deployment

INDUSTRY PROJECTS:

• Azure SQL to Data Lake ETL Pipeline
• SQL Server to Azure Data Lake Migration
• Multi-Source Data Integration
• Incremental Data Loading Pipeline
• Metadata-Driven Pipeline Development
• Azure Data Factory and Databricks Integration
• Data Warehouse Loading Pipeline
• Automated Pipeline Monitoring and Alerts
• Secure Pipeline Using Azure Key Vault
• End-to-End Azure Data Engineering Project

WHO IS THIS PROGRAM FOR?

• Aspiring Data Engineers
• ETL Developers
• SQL Developers
• Azure Data Engineers
• Database Administrators
• Data Integration Professionals
• Business Intelligence Developers
• Cloud Engineers
• Data Warehouse Developers
• IT Professionals transitioning into Data Engineering

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com