Description: Processing frameworks in Apache Flink are tools and libraries that allow developers to implement and manage real-time and batch data streams efficiently. Flink is a distributed data processing system that stands out for its ability to handle large volumes of data with low latency and high availability. Processing frameworks provide a structure that facilitates the creation of data processing applications, allowing users to define how data should be processed, transformed, and analyzed as it flows through the system. These frameworks include features such as fault tolerance, real-time event processing, and integration with various data sources and sinks. Additionally, Flink supports both batch and stream processing, making it a versatile option for different types of applications. The modularity of processing frameworks allows developers to customize and extend functionalities according to the specific needs of their projects, resulting in a robust and adaptable ecosystem for real-time data analysis.
