data-engineering-project-doc-templates

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

data-engineering-project-doc-templates

(★ 66)

This is project documentation templates derived from CRISP-DM to be used for Data Engineering projects.

data-engineering-project-doc-templates 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Data Engineering Project Documentation Templates
This repository is used to provide guidance in a standard data engineering project
that consists of a data lake and data warehouse. The documentation originated
out of a need to standardize a requirements gathering methodology. It is derived
from the [CRISP-DM (Cross Industry Standard Process for Data Mining)](https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining).

## Usage
There are nine templates numbered in logical order within the templates directory. These templates have text in italics that is used for reference purposes. You may clone, modify, or fork the repository at your leisure.

Note that some documentation processes may overlap as you learn more about your project. Do not feel obligated to fill everything out in sequence. Generally you will fill out the first few documents in order and adjust as needed. For more details, learn about CRISP-DM.

## Contributing
My goal in publishing these templates is to make it teach others how to formalize a process around data engineering. It would be awesome for the community to expand on some of the templates to make them more featureful.

To contribute, fork this repository and open a pull request with your changes.

data-engineering-project-doc-templates

data-engineering-project-doc-templates 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

data-engineering-project-doc-templates

data-engineering-project-doc-templates 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README