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Write a PySpark script to process data stored in Delta format and transform it into Parquet.

Spark/Big Datamedium0.7 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
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1,863
across 7 categories
Asked at these companies
Tredence
Key Concepts Tested
partitionspark
Expert AnswerPremium
134 wordsInterview-ready
**Why It Matters (Architectural Logic)**: Delta→Parquet conversion enables format migration while preserving ACID and time-travel during transition. Partition preservation is critical for query performance. Reading Delta and writing Parquet is straightforward with Delta Lake's native APIs. Read: `delta_df = spark.read.format("delta").load("s3://bucket/path/to/delta")`. Write Parquet: `delta_df.write.format("parquet").mode("overwrite").save("s3://bucket/output/parquet")`....
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