Which file format has defined names and data types for each column and uses compressed columnar storage?
Which file format has defined names and data types for each column and uses compressed columnar storage?
Apache Parquet is a columnar storage file format widely used in big data frameworks. It is designed to store and process large datasets efficiently by saving data in a column-oriented fashion, which allows for better compression and faster query processing. Each column in Parquet files has defined names and data types, which aids in schema evolution and data consistency.
C - Correct
Key phase is "compressed columnar storage". That is about Parquet
The file format that has defined names and data types for each column and uses compressed columnar storage is Apache Parquet. Apache Parquet is a columnar storage file format that is designed for efficient data storage and query processing. It stores data in a columnar format, where each column is stored separately, allowing for efficient compression and selective column reads. Parquet files also include metadata that defines the names and data types of each column, enabling schema evolution and efficient query execution. Parquet is widely used in big data processing frameworks like Apache Spark and Apache Hadoop for its performance and storage efficiency.
Yes Correct
option C