Web Reference: Basic Transformations As part of this section we will see basic transformations we can perform on top of Data Frames such as filtering, aggregations, joins etc using SQL. Transformations are “recipe steps” that Spark records in the lineage/DAG rather than executing immediately, allowing Spark to optimize the plan before running it. Common transformation examples include select, filter, withColumn, groupBy, join, distinct, repartition, and union. 4 days ago · You create DataFrames using sample data, perform basic transformations including row and column operations on this data, combine multiple DataFrames and aggregate this data, visualize this data, and then save it to a table or file.
YouTube Excerpt: As part of this section we will see

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