Description: The ‘Table Source’ in Apache Flink is an essential component that defines how data is read from an external source and represented in table form. This concept is fundamental in the context of data processing frameworks that allow developers to work with data streams and datasets efficiently. Table sources enable the integration of data from various sources, such as databases, file systems, or messaging services, facilitating the creation of applications that require access to real-time data. Table sources are highly configurable and can adapt to different data formats, such as JSON, CSV, or Avro, making them versatile for various applications. Additionally, they allow for the definition of data schemas, ensuring that data is processed in a consistent and structured manner. In summary, the ‘Table Source’ is a key component in the architecture of modern data processing systems, enabling the ingestion and processing of data efficiently and flexibly, contributing to the ability to handle large volumes of real-time data.
