Build data pipelines with production in mind.
What it does
Guides data pipeline and infrastructure development with practices for scalability, reliability, performance, and security.
When to use it
Use when designing data architectures, building pipelines, optimizing data workflows, or implementing data governance.
How to use it
It changes how the agent develops data systems by emphasizing testing, review, documentation, version control, and continuous integration.
What you provide
- An existing project
Latest review
What you need · 1
Python 3 is needed to run the bundled automation scripts.
Access · 0
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