Convert Performance Review to Arrow

Performance reviews are where we capture how employees are doing, their goals, and feedback. We can grab structured data from these forms, whether they're PDFs or other types of documents.

We pull out key stuff like:

• Who the employee and reviewer are
• When the review covers and happened
• Overall performance score
• Detailed looks at different areas
• What goals were hit and where to improve
• Future goals
• Comments from the employee and manager

This really helps with:

• Keeping tabs on performance
• Planning employee growth
• Making calls on pay and promotions
• Understanding talent and planning the workforce

Getting data out of these reviews makes the whole process smoother. You can spot trends in how people are doing and easily plug all this info into HR systems and analytics tools. It's a game changer for managing performance.

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.