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Azure Data Factory

Course Summary

The Azure Data Factory (ADF) course deep dives into the realm of cloud-based data integration services. Starting with a foundational understanding of Azure's data solutions, students will explore the intricacies of pipelines, data flows, and data storage options. The course guides students through hands-on labs to design ETL/ELT processes and integrate with various Azure services.

Purpose
Examine Azure cloud-based data integration services
Audience
This course assumes students have a foundational understanding of Azure cloud services and basic data integration concepts. Familiarity with SQL or other data manipulation languages is recommended.

Role
Data Engineer | SW Developers
Skill level
Intermediate
Style
Lecture | Hands-on Activities
Duration
3 days
Related technologies
SQL | Azure Cloud Services

 

Productivity objectives
  • Identify key benefits and features of ADF
  • Examine Azure data solutions
  • Design ETL/ELT processes

What you'll learn:

In this course, you'll learn:
  • Introduction to Azure Data Factory (ADF)
    • Definition and Purpose
    • Benefits and Key Features
    • Comparison with Other Data Integration Services
  • ADF Building Blocks
    • Pipelines
    • Activities
    • Datasets
    • Linked Services
  • Setting up Azure Data Factory (ADF)
    • ADF Azure Portal UI Overview
    • Setting up a ADF Account
    • ADF Management Hub
  • Data Movement & Activities
    • Data Movement Concepts
    • Copy Data Tool
    • Supported Data Stores
  • Data Transformation using Data Flow
    • Introduction to Data Flows
    • Debugging Data Flows
    • Transformations: Aggregations, Joins, Conditional Splits
  • Data Integration Patterns with ADF
    • ETL vs. ELT
    • Incremental Load Patterns
    • Event-Based Triggering
  • Monitoring and Management
    • ADF Monitoring Overview
    • Alerts & Metrics
    • Troubleshooting Common Errors
  • Parameterizing Pipelines
    • Parameters and Expressions
    • System Variables
  • Integration with Other Azure Services
    • ADF with Azure Data Lake Storage
    • ADF with Azure Databricks
  • Deployment Best Practices in ADF
    • Azure DevOps Integration for Automated Deployments
    • Versioning and Source Control Strategies
    • Using ARM Templates for Consistent Deployments
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

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By filling out this form and clicking submit, you acknowledge our privacy policy.