JSON Lines, also known as JSONL, is a handy format for storing structured data that you can process one record at a time.
Each line in a JSON Lines file is a valid JSON object, typically representing a single record. The lines are separated by newline characters, making it easy to read and write sequentially.
This format works great for logging, streaming, and other scenarios where you want to process data line by line without parsing an entire JSON array.
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.
Parquet supports several compression algorithms like Snappy, Gzip, and LZO. These compression techniques help reduce storage space and speed up data processing tasks.
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