What are the different ways of representing data in Spark?
Answer / Vimal Kumar Singh
Data can be represented in Apache Spark using DataFrames, RDDs (Resilient Distributed Datasets), and DataSets. DataFrames offer a programming interface similar to SQL, while RDDs provide more flexibility but less optimization.
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