Final thoughts and future developments
Structured Streaming has emerged as a powerful framework for real-time data processing in Apache Spark. Its unified programming model, fault tolerance, and seamless integration with the Spark ecosystem make it an attractive choice for building scalable and robust streaming applications.
As Structured Streaming continues to evolve, there are several areas that hold promise for future developments. These include the following:
- Enhanced support for streaming sources and sinks: Providing more built-in connectors for popular streaming systems and databases, as well as improving the integration and compatibility with custom sources and sinks.
- Advanced event time handling: Introducing more advanced features for event time handling, including support for event-time skew detection and handling, event deduplication, and watermark optimizations.
- Performance optimization: Continuously improving the performance of Structured Streaming, especially...
