# Spark Structured Streaming Day 2 Lecture

> Gain a comprehensive understanding of Spark Structured Streaming in this lecture, focusing on its advantages, use cases, and key concepts like sources, sinks, and streaming aggregates. Ideal for data engineers and professionals interested in real-time data processing, the session covers practical e…

- Web page: https://www.dataexpert.io/lesson/spark-structured-streaming-day-2-lecture-jan2025-p736-l816
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Week 4: Structured Streaming with Spark & Kafka
- Access: Requires enrollment in DataExpert
- Length: 20 min video
- Skills: ETL/ELT, Apache Spark
- Academy: DataExpert.io Academy

## About this lesson

Gain a comprehensive understanding of Spark Structured Streaming in this lecture, focusing on its advantages, use cases, and key concepts like sources, sinks, and streaming aggregates. Ideal for data engineers and professionals interested in real-time data processing, the session covers practical examples, low-latency requirements, and integration with tools like Kafka. Learn how to handle duplicates, manage watermarks, and configure processing intervals to optimize your streaming applications.

## Navigation

- Previous lesson: [Advanced Spark Optimization Techniques Day 1 Lab](https://www.dataexpert.io/lesson/advanced-spark-optimization-techniques-day-1-lab-jan2025-p736-l813.md)
- Next lesson: [Spark Structured Streaming Day 2 Lab](https://www.dataexpert.io/lesson/spark-structured-streaming-day-2-lab-jan2025-p736-l817.md)
