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Ripotek Technologies Inc.

Design. Engineer. Deliver.

Calgary, Alberta

www.ripotek.com

training@ripotek.com

Azure Data Factory Masterclass

Professional Training Program Syllabus

Program Overview

Duration

12 Weeks (2 sessions per week)

24 total sessions, 72 instructional hours

Investment

CAD $1,000

Flexible payment plans available

Schedule

Tuesday/Thursday

6:00 PM - 9:00 PM Mountain Time

Level

Intermediate

Azure and SQL knowledge required

Program Description

Deep dive into Azure Data Factory for building enterprise-grade data integration pipelines. This intensive masterclass covers advanced ADF patterns, complex orchestration, error handling, performance optimization, and DevOps practices.

Master metadata-driven frameworks, incremental loading, monitoring, and production deployment strategies. Build real-world pipelines that handle millions of records efficiently and reliably.

Prerequisites

Required:

  • Azure fundamentals knowledge
  • SQL proficiency
  • Understanding of ETL/ELT concepts
  • Basic ADF experience

Recommended:

  • Data warehouse experience
  • JSON and ARM templates
  • Git basics
  • Azure DevOps familiarity

Learning Outcomes

Upon completion, you will be able to:

Design complex multi-pipeline solutions
Implement metadata-driven frameworks
Handle errors and retries gracefully
Optimize pipeline performance
Implement incremental loading patterns
Use parameters and variables effectively
Deploy with Azure DevOps
Monitor production pipelines
Troubleshoot complex issues
Implement data quality checks
Manage dependencies and triggers
Apply enterprise best practices

12-Week Curriculum

Week 1: ADF Architecture Deep Dive

  • Components review
  • Integration runtimes
  • Linked services patterns
  • Security best practices

Week 2: Advanced Copy Activities

  • Complex mappings
  • Data type conversions
  • Performance tuning
  • Parallel processing

Week 3: Orchestration Patterns

  • Control flow mastery
  • Dynamic pipelines
  • Conditional logic
  • Loop patterns

Week 4: Metadata-Driven Frameworks

  • Configuration tables
  • Dynamic source/sink
  • Parameter injection
  • Template pipelines

Week 5: Data Flows Advanced

  • Complex transformations
  • Performance optimization
  • Debug strategies
  • Data flow expressions

Week 6: Error Handling

  • Try-catch patterns
  • Retry logic
  • Logging frameworks
  • Alert configuration

Week 7: Incremental Loading

  • Watermark patterns
  • CDC implementation
  • Delta loads
  • Full vs incremental

Week 8: Integration Scenarios

  • REST APIs
  • SFTP and file systems
  • SaaS connectors
  • Custom activities

Week 9: Performance Optimization

  • Pipeline tuning
  • Partition strategies
  • DIU optimization
  • Cost management

Week 10: CI/CD and DevOps

  • ARM templates
  • Azure DevOps pipelines
  • Environment promotion
  • Release management

Week 11: Monitoring and Troubleshooting

  • Azure Monitor integration
  • Log Analytics
  • Alerting strategies
  • Debugging techniques

Week 12: Capstone Project

  • Enterprise pipeline solution
  • Documentation
  • Best practices review
  • Certification prep

Career Services

Typical Roles:

  • Azure Data Engineer
  • ETL Developer
  • Data Integration Specialist
  • Cloud Data Architect
$80K+
Average Starting Salary

Strong foundation for DP-203 certification