Convert Performance Review to Parquet

Upload your Performance Review file to convert to Parquet - paste a link or drag and drop. Free for files up to 5MB, no account needed.

Performance Review

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.

Parquet

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

Common Use Cases

Data Interoperability

Convert Performance Review to Parquet to work with systems that support different formats.

Data Integration

Transform Performance Review data into Parquet for seamless integration with other tools and workflows.

Common Questions

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