Convert Arrow to CSV

Apache Arrow is a cross-language platform for in-memory data. It defines a standard columnar memory format for flat and hierarchical data that works across different programming languages. This format is optimized for efficient analytics on modern hardware like CPUs and GPUs.

Arrow can handle complex nested data structures and lets you query and work with specific columns without reading the entire dataset.

Key Features

• Columnar memory format for flat and hierarchical data
• Works with any programming language
• Optimized for analytics and modern hardware
• Supports complex nested data structures
• Enables efficient zero-copy reads

Use Cases

Apache Arrow shines in scenarios like:

• Big data processing and analytics
• Machine learning and AI pipelines
• Data exchange between different systems and languages
• High-performance computing applications

Its efficient memory layout and standardized format make it a great choice for applications that need fast data processing and compatibility between different tools and languages.

CSV (Comma-Separated Values) is a simple format for storing tabular data in plain text. Each row is a data record, and columns are separated by commas (or other delimiters).

Technical Details

CSV files represent data in a flat table structure. The first row typically contains column headers, and each subsequent row contains values. Fields containing commas, newlines, or quotes may be enclosed in double quotes.

Advantages

• Simple format that's easy to create and parse
• Universal support across spreadsheet applications
• Efficient storage for tabular data
• Human-readable and editable in text editors

Limitations

• No support for nested data structures
• No standardized way to represent data types
• Special characters may require escaping
• No built-in support for formulas or calculations