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content/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond.md

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@@ -169,7 +169,7 @@ While the DataFrame concept is not unique to Spark; R and Python also include Da
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Below is a comparison of distributed versus single-machine analysis.
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<p align="center">
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<img width="500px" src="images/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond/spark-dataframe.png" alt="Spark DataFrame">
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<img width="400px" src="/images/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond/spark-dataframe.png" alt="Spark DataFrame">
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</p>
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> Note: Spark also provides the Dataset API, which combines the benefits of RDDs and DataFrames by offering both compile-time type safety and query optimization. However, the Dataset API is only supported in Scala and Java, not in Python.
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>
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Examples: `map` `filter`
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<p align="center">
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<img width="500px" src="/images/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond/narrow-transformation.png" alt="Spark Narrow Transformation">
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<img width="400px" src="/images/blog/apache-spark-unleashing-big-data-with-rdds-dataframes-and-beyond/narrow-transformation.png" alt="Spark Narrow Transformation">
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</p>
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### Wide Transformations
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