02 How Spark Streaming Works

03 Spark Streaming Local Environment Setup - Docker, Jupyter, PySpark and Kafka

04 Spark Streaming Read from Sockets | Convert Batch Code to Streaming Code

05 Spark Streaming Output Modes, Optimization and Background

06 Lambda and Kappa Architectures | Data Processing Architectures in Big Data

07 Spark Streaming Read from Files | Flatten JSON data

08 Spark Streaming Checkpoint Directory | Contents of Checkpoint Directory

09 Apache Kafka Basics & Architecture | Kafka Tutorial | Pub Sub Architecture | Learn Kafka in 15min

10 Spark Streaming Read from Kafka | Real time streaming from Kafka

11 Spark Streaming Triggers - Once, Processing Time & Continuous | Tune Kafka Streaming Performance

12 Spark Streaming Writing data to Multiple Sinks | foreachBatch | Writing data to JDBC(Postgres)

13 Spark Streaming Handling Errors and Exceptions | Handle Exception for data re-processing in Spark

14 Spark Streaming Event vs Processing Time | Late Arrival of Data | Stateful Processing |Watermarks

15 Tumbling, Sliding and Session Window Operations in Spark Streaming | Grouped Window Aggregations

16 Late Data Processing | Watermarks | Tumbling and Sliding Window Operations in Spark Streaming