What are the best practices for storing machine learning data?

What are the best practices for storing machine learning data?

When storing machine learning data, consider using structured formats like CSV or Parquet, and ensure data is clean and well-organized.

Should I use a database or file storage for my ML data?

It depends on your use case. For large datasets with complex queries, a database is preferable. For simpler, static data, file storage may suffice.

How do I handle versioning of my datasets?

You can use tools like DVC (Data Version Control) to manage dataset versions, ensuring reproducibility and tracking changes.

What about data privacy and security?

Always anonymize sensitive data, use encryption for storage, and comply with regulations like GDPR to protect user privacy.