Modernizing Jupyter workflows with Hex + Snowflake
Blog post from Hex
Jupyter Notebooks have been widely used by data scientists for years due to their ability to allow fast iteration and self-documenting logs. However, they are not designed for modern data workflows as they lack real version control, integrations with other tools, and the capability to operate on large datasets. Hex is a cloud-native notebook that addresses these issues by offering easy setup, direct integration with other tools, collaboration features, and support for large datasets. It also treats SQL as a first-class citizen, enabling users to write SQL in full-featured cells without needing to know Python. Additionally, Hex supports real-time multiplayer collaboration, versioning, and the ability to create polished data apps that can be shared with anyone.
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