Spark Programming in Python for Beginners with Apache Spark 3 - Introduction to Spark RDD API

The video tutorial introduces Spark RDDs, explaining their characteristics, such as resilience and fault tolerance. It covers how to create and process RDDs using Spark context and APIs, highlighting the differences between RDDs and DataFrames. The tutorial provides a detailed example of applying transformations and actions on RDDs, including schema application and data processing. It concludes by discussing the limitations of RDDs compared to DataFrames.

What are the limitations of RDDs compared to DataFrame APIs?

What is the process of filtering records in an RDD?

Explain how to group records by a key in an RDD and the challenges involved.

Summarize the overall advantages and disadvantages of using RDDs.