Spark Streaming with PySpark | Structured Streaming Tutorial 2025 - 16 Late Data Processing | Watermarks | Tumbling and Sliding Window Operations in Spark Streaming

Video covers - What are Watermarks in Spark? What are Tumbling, Sliding and Session Windows in Spark Streaming? What are different Window Operations in Spark Streaming? How to handle Late Data in Spark Streaming? Difference between Update and Complete modes ? Chapters: 00:00 - Introduction 01:15 - Fixed Window Code Implementation 03:28 - Fixed Window with Watermark 07:39 - Late Events with Watermark 09:19 - Sliding Window URLs: Github Code - https://github.com/subhamkharwal/spark-streaming-with-pyspark/blob/master/07_window_operations_and_watermarks.ipynb Data samples - https://github.com/subhamkharwal/spark-streaming-with-pyspark/blob/master/datasets/devices/late_data_samples.txt To setup Kafka with Spark in Local environment - https://youtu.be/BeZRe0f23hI JSON data Flattening and reading from files - https://youtu.be/wp_2CXyXV0w Keywords: Apache Spark, PySpark, Spark Streaming, Real-time Data Processing, Data Streaming, Big Data Analytics, PySpark Tutorial, Apache Spark Tutorial, Streaming Analytics, Spark Structured Streaming, PySpark Streaming, Big Data Processing. New video in every 3 days ❤️ Make sure to like and Subscribe.