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Lecture 22: Spark DataFrames and Data Preparation

Lecture 22: Spark DataFrames and Data Preparation

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Lecture 22: Spark DataFrames and Data Preparation
Read the progress bar as a resource model
Compare three sampling strategies
A local path is not a shared path
Make CSV options explicit
Expressions distinguish columns from string literals
Write typed Parquet once, reuse it later
Begin cataloging: table versus view
Connections