RDD vs. DataFrame: What’s The Difference?
Pure Storage
APRIL 17, 2024
by Pure Storage Blog To speed up performance in data analytics, Apache Spark uses two storage organization strategies: resilient distributed datasets (RDDs) and DataFrames. RDDs use collections of data across multiple nodes, while DataFrames distribute data in columns, similar to a relational database table. What Is a DataFrame?
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