Summary
Throughout this chapter, we have explored the fundamental concepts and advanced techniques in Structured Streaming.
We started by understanding the fundamentals of Structured Streaming, its advantages, and the core concepts that underpin its operation. Then, we talked about Spark Streaming and what it has to offer.
After that, we dived into the core functionalities of Structured Streaming. Then, we further delved into advanced topics, such as windowed operations in Structured Streaming. We explored sliding and tumbling windows, which enable us to perform aggregations and computations over a specified time window, allowing for time-based analysis of the streaming data. Additionally, we explored stateful streaming processing, which involves maintaining and updating state in streaming applications and integrating external libraries and APIs to enhance the capabilities of Structured Streaming.
Finally, we explored emerging trends in real-time data processing and concluded...
