this post was submitted on 03 Sep 2024
25 points (100.0% liked)
Programming
17668 readers
170 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities [email protected]
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
In the deep learning community, I know of someone using parquet for the dataset and annotations. It allows you to select which data you want to retrieve from the dataset and stream only those, and nothing else. It is a rather effective method for that if you have many different annotations for different use cases and want to be able to select only the ones you need for your application.
How does this differ from graphQL?
Parquet is a storage format; graphQL is a query language/transmission strategy.
@djnattyp
exactly. and parquet is optimized for parallel processing, making it ideal for big data frameworks because data gets distributed to the nodes. no need for parquet as long as you can calculate on a local machine. and for the ones who are complaining about csv. most data that make it into a parquet file comes from... csv files 😊
@demesisx