Convert Avro to Markdown Table

Avro is a row-based data serialization system developed within Apache's Hadoop project. It provides rich data structures and a compact, fast binary data format.

Technical Details

Avro uses JSON for defining data schemas, which are stored with the data. This enables schema evolution while maintaining compatibility. The data itself is stored in a compact binary format.

Advantages

• Compact binary serialization
• Schema definition included with the data
• Support for schema evolution
• Dynamic typing and code generation

Limitations

• Not human-readable without special tools
• Less widely supported than formats like JSON or CSV
• More complex to implement than simpler formats
• Less efficient for columnar queries than Parquet

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.