@Marvin What is “Data lake support” mean in Prefect vs Dagster: Modern Data Orchestration | Prefect ？

The term "Data lake support" in the context of Prefect, as mentioned in your link comparing Prefect with Dagster, refers to Prefect's ability to integrate with various data lake technologies. This means that Prefect can be used to orchestrate workflows that interact with data lakes, such as fetching data, inserting data, or running processes directly within them. Unfortunately, I couldn't find specific mentions of "Data lake support" as a unique feature in Prefect's documentation. However, Prefect does offer integrations with platforms like Snowflake and Databricks that are commonly used with data lakes. You can assume that these integrations provide the necessary tools to interact with, and manage workflows involving data lakes. If you're interested in more specific details or examples for integrations with these technologies, you may want to explore the relevant documentation pages such as: - Prefect-Snowflake Integration - Prefect-Databricks Integration Just think of "Data lake support" as giving you all the right keys to unleash data flow within these lake-sized repositories.

Hey @Gary, @Bianca Hoch's summit presentation may be a helpful starting point for you: https://www.prefect.io/summit-manage-data-lakes-bianca-hoch

@Brian Russell Thank you for the link!