Mastering Data Pipelines with Apache NiFi offers an in-depth exploration of data flow automation and management using Apache NiFi. Participants will engage in a project-based curriculum that emphasizes hands-on experience, enabling them to design, implement, and optimize data pipelines effectively. This course is structured to provide both theoretical insights and practical applications, ensuring that learners can translate their knowledge into real-world scenarios.
The course encompasses a variety of topics that cover the essential components of data pipeline management. Participants will learn to leverage Apache NiFi’s capabilities to handle data ingestion, transformation, and delivery. By the end of the program, learners will have developed a comprehensive understanding of how to create efficient data workflows, troubleshoot common issues, and enhance data quality. This knowledge is crucial for professionals looking to advance their careers in data analytics and big data management.
Introduction to Apache NiFi and its architecture
Setting up and configuring Apache NiFi
Data ingestion techniques and best practices
Creating and managing data flows with processors
Data transformation using NiFi Expression Language
Implementing data provenance and lineage tracking
Error handling and troubleshooting in data pipelines
Integrating Apache NiFi with other big data tools (e.g., Hadoop, Spark)
Performance tuning and optimization strategies
Final project: Designing a comprehensive data pipeline for a real-world scenario