Step 1: Understanding the Basics
1.1 Introduction to Azure Data Factory
- What is Azure Data Factory?
- Understanding Data Integration
- Use cases of Azure Data Factory
1.2 Setting Up Your Environment
- Setting up an Azure account
- Navigating the Azure portal
- Creating a Data Factory resource
Step 2: Working with Pipelines
2.1 Understanding Pipelines
- What is a pipeline?
- Building blocks of a pipeline
- Creating and editing pipelines
2.2 Data Flow
- Understanding data flow
- Configuring source and sink datasets
- Data transformation activities
Step 3: Data Ingestion and Storage
3.1 Data Ingestion
- Understanding data sources
- Connecting to different data stores
- Copy data activity
3.2 Data Storage
- Azure Blob Storage
- Azure Data Lake Storage
- Setting up and managing data storage
Step 4: Monitoring and Management
4.1 Monitoring Pipelines
- Monitoring dashboard
- Pipeline alerts and metrics
4.2 Pipeline Management
- Triggering pipelines
- Parameterizing pipelines
- Debugging and troubleshooting
Step 5: Advanced Concepts
5.1 Integration Runtime
- Understanding Integration Runtime
- Self-hosted and Azure Integration Runtime
5.2 Security and Compliance
- Role-based access control (RBAC)
- Data encryption and masking
- Compliance and auditing
Step 6: Hands-On Projects
6.1 Project Ideas
- Building a data warehouse with ADF
- ETL operations with ADF
6.2 Developing and Deploying Projects
- Developing projects in ADF
- Deploying ADF projects
Step 7: Resources and Next Steps
7.1 Documentation and Tutorials
- Official documentation
- Community tutorials and blogs
7.2 Communities and Forums
- Azure Community
- Stack Overflow
7.3 Further Learning
- Advanced courses
- Certifications