Convert Resume to Avro

Resumes sum up a person's work history, education, skills, and qualifications. We can pull structured data from these, whether they're PDFs or other types of files.

We grab key details like:

• Personal info (name, how to contact them)
• A quick professional summary
• Work history (where they worked, what they did, when, and their main tasks)
• Education (schools, degrees, when they graduated)
• Skills and languages they know
• Any certifications they have

This is super useful for:

• Tracking job applicants and parsing resumes
• Quickly finding the best candidates
• Building a database of skills and talent
• HR analytics and planning your workforce

Pulling data from resumes makes hiring a lot easier. You can quickly spot qualified people and get their info into your HR systems and talent management tools without a hassle. It's a real time saver.

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