# Apache Spark programming with Databricks Day 2 Lecture

> In this video, Yared discusses the concept of stream processing, drawing parallels between data streams and water flow to illustrate the importance of continuous data movement. He highlights various applications, such as fraud detection, predictive maintenance in aircraft, and real-time marketing,…

- Web page: https://www.dataexpert.io/lesson/apache-spark-programming-with-databricks-day-2-lecture-may2025-p736-l1159
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Week 4: Structured Streaming with Spark & Kafka
- Access: Requires enrollment in DataExpert
- Skills: ETL/ELT, Apache Spark, Databricks, Kafka
- Academy: DataExpert.io Academy

## About this lesson

In this video, Yared discusses the concept of stream processing, drawing parallels between data streams and water flow to illustrate the importance of continuous data movement. He highlights various applications, such as fraud detection, predictive maintenance in aircraft, and real-time marketing, emphasizing the need for low-latency decision-making in these areas. He also introduces popular stream processing tools like Kafka and Flink, and explores how to implement these concepts using Databricks.

## Navigation

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