This library allows to load json configs and access the values like members (i.e., config.server.port instead of config['server']['port']), validate the data types of fields and transform the values ...

One of the most common tasks that you will have to deal with in the present data engineering context using PySpark, is to read a JSON file. And by that I do not mean data in JSON format. I am ...

Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.

This script generates a config.json file for machine learning models, tailored specifically for complex finetuning scripts. It automates the process by scraping relevant information from the ...

Managing configuration in data engineering workflows is often overlooked — yet it’s critical for reliability, scalability, and ease of maintenance. Many teams store configuration data in Delta Lake ...

JSON is a hugely popular format, used for configuration, API responses, game save data, and much more. But it has its critics, and JSON is not the only option. YAML is actually older than JSON, but ...