Which option is NOT a component of Apache Spark?

Hudi is indeed not a core component of Apache Spark. Instead, Apache Hudi is an open-source data management framework that works on top of big data processing engines like Apache Spark and Hadoop. Its purpose is to simplify the process of managing large-scale data lakes, providing features such as upsert (update and insert) capability, and efficient storage and retrieval of data.

In contrast, Resilient Distributed Datasets (RDD), DataFrames, and Streaming Data are foundational components of Apache Spark itself. RDDs are the fundamental data structure in Spark, allowing for resilient distributed computation. DataFrames are a higher-level abstraction built on RDDs that provide a more convenient API for data manipulation and enable optimizations for query execution. Streaming Data refers to the capabilities within Spark for processing real-time data streams, which is a significant feature for many modern applications.

Therefore, while Hudi can complement Spark applications, it is not a component integrated into Apache Spark in the same way as RDDs, DataFrames, or Streaming Data.