https://github.com/lmdcma27/dataexpert.io-boot-camp
Here i share my practices and solutions for the dataExpert BootCamp. You can follow it in the repo: https://github.com/DataExpert-io/data-engineer-handbook/tree/main/bootcamp/materials
https://github.com/lmdcma27/dataexpert.io-boot-camp
analytical-patterns apache-flink apache-spark data-modeling data-quality-patterns unit-testing-pipelines
Last synced: 2 months ago
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Here i share my practices and solutions for the dataExpert BootCamp. You can follow it in the repo: https://github.com/DataExpert-io/data-engineer-handbook/tree/main/bootcamp/materials
- Host: GitHub
- URL: https://github.com/lmdcma27/dataexpert.io-boot-camp
- Owner: lmdcma27
- Created: 2024-11-27T04:58:32.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-07T01:39:39.000Z (about 1 year ago)
- Last Synced: 2025-03-24T17:14:44.579Z (about 1 year ago)
- Topics: analytical-patterns, apache-flink, apache-spark, data-modeling, data-quality-patterns, unit-testing-pipelines
- Language: Python
- Homepage: https://www.dataexpert.io/
- Size: 25.4 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
To embark on your data engineering journey, you can effortlessly set up the RDBMS and restore the practices database associated with this bootcamp. Simply follow the instructions provided in the link below:
[Restore Practices Database & RDBMS Setup](https://github.com/DataExpert-io/data-engineer-handbook/tree/main/bootcamp/materials/1-dimensional-data-modeling)
This repository contains all the necessary resources and step-by-step guidance to help you get started with the foundational aspects of dimensional data modeling.