Description: Streaming SQL is a dialect of SQL specifically designed for querying real-time data flowing through data processing systems. Unlike traditional SQL, which is primarily used for querying data stored in static databases, Streaming SQL allows users to interact with continuous data streams, which is essential in environments where the immediacy of information is crucial. This type of SQL integrates into various data processing platforms, facilitating the creation of data pipelines that can handle both batch and real-time data. Key features of Streaming SQL include the ability to perform aggregation, filtering, and transformation operations on data streams, as well as the capability to join multiple streams and perform complex analyses in real-time. Its relevance lies in the growing need for businesses to make decisions based on instantaneous data, making it a valuable tool for data analysts, data engineers, and data scientists working on real-time analytics applications.
