ETL Development with Apache NiFi

This six-week course is designed to equip participants with the skills needed to develop robust ETL (Extract, Transform, Load) pipelines using Apache NiFi. Apache NiFi is a powerful tool for data flow automation, known for its user-friendly interface and flexible architecture. The course will cover everything from the basics of NiFi to advanced data flow management, including error handling, data transformation techniques, and best practices in ETL processes.

Detailed Syllabus:

Week 1: Introduction to Apache NiFi

• Overview of Apache NiFi: What it is and why it's used.
• Understanding the NiFi architecture and its core components.
• Setting up and configuring Apache NiFi.

Week 2: Basic Concepts and Data Flow Management

• Working with processors, connections, and flow controllers.
• Designing and creating simple data flows.
• Introduction to FlowFile attributes and metadata.

Week 3: Advanced Data Routing and Transformation

• Implementing content-based routing with NiFi.
• Advanced data transformations using NiFi's built-in processors.
• Custom processors and scripting in NiFi (using languages like Groovy and Python).

Week 4: Process Grouping and Modularization

• Organizing workflows with process groups.
• Understanding and using remote process groups for distributed processing.
• Modularization and reusability of workflows.

Week 5: Error Handling and Data Provenance

• Strategies for effective error handling and fault tolerance.
• Using queues and backpressure settings to manage data flow.
• Exploring NiFi's data provenance tools and capabilities for auditing and tracking.

Week 6: Optimization, Monitoring, and Deployment

• Best practices for optimizing data flows for performance and scalability.
• Monitoring NiFi workflows with built-in tools and external monitoring solutions.
• Deploying and managing NiFi in production environments.

Learning Outcomes:

• Master the use of Apache NiFi for developing and managing ETL pipelines.
• Understand and implement sophisticated data flow management techniques including data routing, transformation, and error handling.
• Gain the ability to deploy and optimize NiFi workflows in a production setting.

This course includes interactive tutorials, practical exercises, and a capstone project where participants will build and deploy a complex ETL pipeline using Apache NiFi. By the end of the course, students will have a solid foundation in managing data flows effectively, making them valuable assets in any data-intensive environment.

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