Apache Spark 3 for Data Engineering and Analytics with Python - The Spark Unified Stack

The video introduces Apache Spark as a unified engine for big data processing, highlighting its core components and modules. It covers the Spark Core, which provides essential functionalities for distributed applications, and explores various modules built on top of it, including Spark SQL for structured data, Spark Structured Streaming for real-time data processing, Spark MLib for machine learning, and Spark Graph for graph processing. The video concludes with a summary of Spark's capabilities and a preview of the next lesson on installing Spark locally.

How does Spark Structured Streaming handle real-time data processing?

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Explain the significance of Spark M Lib in machine learning.

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