Why is Apache Parquet the predominant file format for analytical workloads in data lakehouses?

Parquet's columnar storage layout allows query engines to read only the columns needed and apply predicate pushdown; combined with efficient encoding and compression; this dramatically reduces I/O for analytical queries. The incorrect options ("Parquet stores data in row-oriented layout for fast record-level updates", "Parquet supports schema-on-read only and requires no predefined schema", "Parquet is a proprietary format developed by Apache Hadoop project exclusively") are distractors that don't fully capture the concept described.