When it comes to using distributed processing frameworks, Spark is the de-facto choice for professionals and large data
processing hubs. Recently, Databricks’s team open-sourced a library called Koalas to implement the Pandas API with
spark backend. This library is under active development and covers more than 80% of Pandas API.
With the release of Spark 3.2.0, the KOALAS is integrated in the pyspark submodule named as pyspark.pandas.
The seamless integration of pandas with Spark is one of the key upgrades to Spark.
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