Course Outline
- Introduction to Azure Data Factory (ADF)
- Overview of ADF and its purposes
- Key features and components
- Real-world use cases
- Getting Started with Azure Data Factory
- Setting up an Azure account
- Navigating the Azure Portal
- Creating your first Data Factory instance
- Understanding Data Ingestion
- What is data ingestion?
- Types of data sources
- Common challenges and considerations in data ingestion
- Data Pipelines in Azure Data Factory
- Introduction to pipelines
- Creating and configuring pipelines
- Activities and connections in ADF
- Working with Data Flows
- Understanding mapping and wrangling data flows
- Designing data transformation processes
- Executing and monitoring data flows
- Managing Data Movement
- Linked services and datasets
- Configuring integration runtimes
- Copy data tool for simple data movement scenarios
- Advanced Data Ingestion Techniques
- Incremental data loading strategies
- Handling changing data types
- Integrating ADF with other Azure services
- Error Handling and Debugging
- Monitoring pipelines
- Debugging common issues
- Best practices for error handling and logging
- Security and Compliance
- Data security practices in ADF
- Managing access and permissions
- Compliance considerations
- Project: Building a Complete Data Ingestion Solution
- Step-by-step guided project
- Real-world scenario and requirements
- Implementation and testing
- Course Wrap-Up and Next Steps
- Recap of key concepts
- Additional resources and learning paths
- Closing thoughts and encouragement for exploration
Tips for This Course
- Engaging Content: Use a mix of video lectures, hands-on labs, quizzes, and assignments to make the course interactive.
- Real-Life Examples: Incorporate real-world scenarios to help students understand the practical applications of the concepts.
- Resources: Provide downloadable resources such as cheat sheets, slides, and example project files.
- Community Engagement: Consider creating a forum or chat group for students to discuss the course material and share experiences.
Curriculum
- 11 Sections
- 7 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Chapter 1 : Introduction to Azure Data Factory (ADF)Students can gain a comprehensive understanding of Azure Data Factory, equipping them with the necessary context and knowledge to engage with more complex topics in subsequent chapters. Adjust the activities and objectives based on your course goals and audience needs.8
- 2.0Lesson 1: What is Azure Data Factory?
- 2.1Lesson 2: Key Features of Azure Data Factory
- 2.2Lesson 3: Components of Azure Data Factory
- 2.3Lesson 4: Real-World Use Cases
- 2.4Lesson 5: Conclusion and Review
- 2.5Final Quiz covering Chapter 1 Content10 Minutes0 Questions
- 2.6Group Discussion
- 2.7Q&A Session to address any lingering questions
- Chapter 2 : Getting Started with Azure Data Factory0
- Chapter 3 : Understanding Data Ingestion0
- Chapter 4 : Data Pipelines in Azure Data Factory0
- Chapter 5 : Working with Data Flows0
- Chapter 6 : Managing Data Movement0
- Chapter 7 : Advanced Data Ingestion Techniques0
- Chapter 8 : Error Handling and Debugging0
- Chapter 9 : Security and Compliance0
- Chapter 10 : Project: Building a Complete Data Ingestion Solution0
- Chapter 11 : Course Wrap-Up and Next Steps0