Apache NiFi is a robust, open-source data ingestion and distribution framework—and more. It can propagate any data content from any source to any destination. NiFi is based on a different programming paradigm called Flow-Based Programming (FBP). We define Flow-Based Programming, but don't explain it. Instead, we tell you how NiFi works, and then you can connect it with our definition of Flow-Based Programming.
The field of big data is quite vast, and anyone who starts learning big data and its related technologies may find the experience very daunting. There are numerous big data technologies, and deciding where to begin can be overwhelming. However, there is a lot of scope for big data and its related technologies such as Apache NiFi, Spark, Flink, and more. So, start your big data journey today by learning about Apache NiFi.
All the necessary lab files are at
https://github.com/learnwithmanoj/apache-nifi-templates
The core concepts of Apache NiFi
Key NiFi features such as backpressure, prioritization, expiration, monitoring, reporting tasks, data provenance, and more.
NiFi registry for version control
Install Apache NiFi in standalone and cluster modes