RDD is a fundamental distributed collection of data in Spark, offering flex

What is the difference between rdd and dataframe in spark?

Question Posted / Avinash Sharma

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Answer Posted / Avinash Sharma

RDD is a fundamental distributed collection of data in Spark, offering flexible operations for structured or unstructured data. DataFrames and Datasets provide additional structure with a schema (schema-less for Datasets) and built-in optimizations for SQL-like queries and high-level API functionality.

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