What is difference between rdd and dataframe?
Answer / Satyendra Kumar Tiwari
RDD (Resilient Distributed Dataset) is a fundamental data structure in Apache Spark that represents an immutable distributed collection of objects. DataFrames, on the other hand, provide a programming interface for manipulating structured data (such as tables with columns and rows), including support for SQL-like queries and more advanced data types beyond primitives like integers and strings.
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