Convert Parquet to Markdown Table

Apache Parquet is a columnar storage format optimized for use with big data processing frameworks. It offers efficient data compression and encoding schemes, which leads to significant storage savings and improved read performance.

Parquet is designed to support complex nested data structures and enables efficient querying and manipulation of specific columns without reading the entire dataset.

Compression

Parquet supports various compression algorithms such as Snappy, Gzip, and LZO. These compression techniques help in reducing the storage space and improving the performance of 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.