Apache Spark 3 for Data Engineering and Analytics with Python - Introduction

The video introduces PySpark, a Python API for Apache Spark, which is used for distributed data processing. It clarifies that Spark is not a programming language but a library for languages like Java, Scala, R, and Python. The video explains the need for Spark due to the exponential growth of data, highlighting its advantages over Hadoop and MapReduce, particularly in speed and efficiency. Spark's ability to process data in-memory makes it significantly faster. The video concludes with a promise to explore Spark's architecture in the next lesson.

Describe the advantages of using Spark for data processing.

What role does Spark play in the context of data analytics and machine learning?