Convert Parquet to SQL

Apache Parquet is a columnar storage format that works great with big data processing frameworks. It compresses and encodes data efficiently, which saves a lot of storage space and makes reading data faster.

Parquet can handle complex nested data structures. It lets you query and work with specific columns without having to read the entire dataset.

Compression

Parquet supports several compression algorithms like Snappy, Gzip, and LZO. These compression techniques help reduce storage space and speed up data processing tasks.

SQL (Structured Query Language) is a standard language for storing, manipulating, and retrieving data in relational database management systems.

Many database systems use SQL, including MySQL, PostgreSQL, and SQLite. SQL lets you create, read, update, and delete database records with commands like SELECT, INSERT, UPDATE, and DELETE.