Convert Parquet to Markdown Table

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.

Markdown is a lightweight markup language with plain-text formatting syntax. It's designed to be easy to read, write, and convert to HTML and other formats.

Key features of Markdown include:

• Simple syntax for headings, lists, links, and emphasis
• Support for inline HTML
• Easy to learn and use, even for non-technical users
• Widely supported across various platforms and applications

Markdown is commonly used for:

• Documentation and README files
• Forum and blog posts
• Note-taking and writing
• Creating content for static site generators

While the core syntax is standardized, there are several flavors of Markdown with extended features, such as GitHub Flavored Markdown (GFM) and CommonMark.