Spark DataFrames
**Spark DataFrames**
What is Spark DataFrames?
Spark DataFrames are a distributed collection of data organized into named columns. They are similar to tables in a relational database or data frames in R/Python, but with richer optimizations under the hood. DataFrames are designed for large-scale data processing and enable users to structure, transform, and analyze data efficiently using SQL-like queries and various built-in functions. They are commonly used for data cleaning, feature engineering, and building machine learning models.
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Spark DataFrames Complementary Technologies
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