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Duration 14 hours
Course Outline
Introduction to Azure Data Factory
- Comprehensive overview of Azure Data Factory
- Core concepts and architectural components
- Key use cases and strategic advantages of ADF
Configuring Your ADF Environment
- Provisioning and configuring an ADF instance
- Exploring the Azure Data Factory user interface
- Comprehending integration runtimes
Managing Datasets and Linked Services
- Defining datasets and configuring linked services
- Establishing connections to diverse data sources
- Setting up authentication protocols and secure connections
Building Data Pipelines
- Foundations of pipeline structure and components
- Constructing basic data pipelines using activities
- Developing pipelines for effective data movement
Data Flow and Transformation Processes
- Foundations of data flow
- Executing data transformation activities
- Designing and executing data flow transformations
Pipeline Scheduling and Triggers
- Automating pipeline execution using triggers
- Utilizing tumbling window and event-based triggers
- Monitoring pipeline activity and analyzing output logs
Debugging and Error Management
- Troubleshooting pipelines and data flows
- Implementing error handling strategies and retry logic
- Enhancing existing pipelines with robust error handling
Performance Tuning
- Best practices for optimizing data pipeline efficiency
- Configuring parallelism and partitioning for improved throughput
- Refining overall pipeline performance
Security and Oversight
- Enhancing ADF security through access control and permission management
- Applying data encryption and secure data transfer methods
- Utilizing built-in tools and alerts to monitor data pipelines
Complex Scenarios and Integration
- Connecting ADF with other Azure platform services
- Addressing intricate data integration challenges
- Constructing a complete, end-to-end data integration solution
Recap and Future Steps
Requirements
- Fundamental understanding of cloud computing principles
- Working knowledge of data integration and ETL workflows
Intended Audience
- Data engineers
- Data analysts
- ETL developers
- IT professionals
Testimonials (2)
All of the training was great. Especially liked the training documentation to reference. Looking forward to the Advanced Training, when we are ready.
Amy Gregg - Qualfon
Course - Boomi Integration Fundamentals
I've find out new interesting things about Lambda and Serverless