Apache Spark preguntas y respuestas de entrevista
Question: What is the difference between a DataFrame and an RDD in Spark?Answer: A DataFrame is a distributed collection of data organized into named columns, similar to a relational table. An RDD (Resilient Distributed Dataset) is a low-level abstraction representing a distributed collection of objects.Example:
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- What is the purpose of the Spark SQL module?
- Explain the difference between narrow and wide transformations in Spark.