DevOps Fundamentals: Lecture - Deploying Databricks Assets Overview

[Daniel_B]

I cannot make sense of this sentence:

• By treating Databricks resources as code, DABs enables peer review through standard Git Lakeflow Jobs like pull requests

There are other problems with this lecture that light review or AI review would easily catch. 

[Daniel_B]

What does this sentence mean?

In the next demo, you will perform how to deploy the Project.

This one's interesting:

Code and integration tests are deploy to staging

Here's another:

Configure service principles, kick off jobs, and other tasks

[Kirankumarbs]

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By treating Databricks resources as code, DABs enables peer review through standard Git Lakeflow Jobs like pull requests

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That means keeping all resources such as Jobs, Servings, lakeflow, Dashboards as code at Github repo and deploy through DABs allows peer to review like any other code in Github repository!

For example my setup:

 That's Github repo!