Apache Spark 3 - Real-time Stream Processing using Python

Real-time Stream Processing Concepts - Acquire a solid understanding of real-time stream processing concepts, laying the groundwork for efficient data analysis.

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Spark Structured Streaming APIs and Architecture - Explore the Spark Structured Streaming APIs and delve into the architecture, learning how to structure and manage streaming data efficiently.

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Working with File Streams, Kafka Integration, and Stateful Transformations - Gain practical skills in handling file streams, integrating Spark with Kafka sources, and mastering both stateless and stateful streaming transformations.

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Advanced Stream Processing Techniques - Explore advanced techniques such as windowing aggregates, watermarking, state cleanup, streaming joins, aggregation, and mitigating memory issues with streaming joins.

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