Question: The data redundancy ( keeping multiple copies of the same data ) is a great feature in Resilient Distributed Data ( RDD ) . But

The data redundancy (keeping multiple copies of the same data) is a great feature in Resilient Distributed Data (RDD). But what is the main drawback of RDD compared to Pandas DataFrames?1.immutable2.spark is a complicated programming model3.needs oracle vm for programming4.lambda function

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