#data pipelines

Flyte is a Kubernetes-based framework that simplifies managing scalable data and ML pipelines. It supports Python and other languages, offering strong data validation, dynamic workflow capabilities, and efficient resource management, making it suitable for cloud and on-premise environments. Used by companies like LinkedIn and Spotify, Flyte's extensive SDKs and documentation streamline deployment and scaling for complex workflows.

WebDataset offers an efficient and scalable method for managing large datasets using sequential I/O operations, enhancing disk access and data processing. It works with native formats such as images and audio, simplifying data archiving. Compatible with major frameworks like PyTorch, TensorFlow, and Jax, it supports data handling across both local and cloud storage without extra metadata, while improving training performance through shard resampling and indexing.