Hi,
Spark ecosystem libraries are composed of various components like Spark SQL, Spark Streaming, and ML libraries.
- Spark SQL: It is used to elaborate on the power of declarative queries, optimize storage by executing SQL queries like spark data which is present in RDD and other external sources.
- Spark Streaming: It allows developers to perform batch processing and streaming of data in the same application.
- ML Libraries: It uses the deployment and development of scalable ML pipelines like Coo-relation, features extraction, transformation function, optimization algorithm, etc.