Convert Parquet to Markdown Table

Parquet is a columnar storage file format designed for efficiency with big data processing frameworks like Apache Hadoop and Spark.

Technical Details

Parquet organizes data by columns rather than rows, which enables better compression and more efficient queries for analytical workloads. It supports nested data structures and is optimized for handling complex data.

Advantages

• Highly efficient columnar storage and compression
• Excellent query performance for analytical workloads
• Support for nested data structures
• Schema evolution capabilities

Limitations

• Not human-readable like CSV or JSON
• Less suitable for row-oriented operations
• Requires specialized tools for viewing and editing
• More complex than simpler formats

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.