Web Reference: 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. We will build end to end solution by taking a simple problem statement. Mar 31, 2026 · 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. 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.
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