Hex Foundations: How projects get executed

Welcome to episode 7 of our series on Hex fundamentals.

In this episode, we're going to unveil the magic behind project execution. We'll shed light on the kernel, the little engine that powers the notebook experience and what happens when the kernel get’s into the undesirable, stale state. At the end, we'll share some tips on how you can tailor the execution of your projects to your needs.

Hex is a collaborative workspace for exploratory analytics and data science. With Hex, teams can quickly reach insights in AI-powered notebooks using SQL, Python, & no-code, and instantly share their work with anyone.

Links
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Visit our website: https://hex.tech/
Project kernels: https://learn.hex.tech/docs/develop-logic/project-kernels
Reactive execution: https://learn.hex.tech/docs/develop-logic/compute-model/reactive-execution
Graph view: https://learn.hex.tech/docs/develop-logic/compute-model/graph-view
Run modes and stale state: https://learn.hex.tech/docs/develop-logic/compute-model/run-modes-and-cell-staleness
Compute profiles: https://learn.hex.tech/docs/environment-configuration/environment-views#compute-profiles
Stay connected on twitter - https://twitter.com/_hex_tech
Stay connected on LinkedIn - https://www.linkedin.com/company/hex-technologies/mycompany/

Timestamps
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0:00 - Intro
0:48 - What is the kernel???
1:33 - Kernel settings
2:23 - A common kernel issue
2:43 - Example of bad state in Jupyter
4:04 - What is stale state??
4:53 - How Hex solves stale state
5:16 - Reactive execution example
5:41 - How reactive execution works
6:11 - Visualizing cell relationships in the graph view
6:58 - Benefits of reactive execution
7:20 - Changing the execution model [Run modes]
7:55 - Auto run mode
8:15 - Cell only run mode
8:48 - Cell + upstream run mode
9:07 - Cell + downstream run mode
9:38 - Outro [see you next time ✌?]