# About the Learning Resource category

**URL:** <https://discuss.dataengineercafe.io/t/about-the-learning-resource-category/321>\
**Category:** Learning Resource\
**Created:** [July 4, 2022, 10:13am UTC](https://discuss.dataengineercafe.io/t/about-the-learning-resource-category/321 "2022-07-04T10:13:09Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![yothinix](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dataengineercafe.io/yothinix/32/147_2.png) [@yothinix](https://discuss.dataengineercafe.io/u/yothinix)\
**Post date:** [July 4, 2022, 10:13am UTC](https://discuss.dataengineercafe.io/t/about-the-learning-resource-category/321/1 "2022-07-04T10:13:09Z")

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รู้อะไรมา อะไรน่าสนใจ ก็มาแชร์กันโลด อย่ามัวแต่เก็บไว้คนเดียว

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**Author:** ![kahnwong](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dataengineercafe.io/kahnwong/32/295_2.png) [@kahnwong](https://discuss.dataengineercafe.io/u/kahnwong)\
**Post date:** [July 5, 2022, 8:59am UTC](https://discuss.dataengineercafe.io/t/about-the-learning-resource-category/321/2 "2022-07-05T08:59:53Z")

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คุณได้สิทธ์นั้นเดี๋ยวนี้!

- [Index - Data Engineering Wiki](https://dataengineering.wiki/Index)
- [GitHub - opendatadiscovery/awesome-data-catalogs: 📙 Awesome Data Catalogs and Observability Platforms.](https://github.com/opendatadiscovery/awesome-data-catalogs)
- [75+ Data Terms: Modern Data Definitions Glossary](https://www.secoda.co/glossary)
- [https://www.gentlydownthe.stream/](https://www.gentlydownthe.stream/)
- [A Beginner's Guide to Clean Data - beginners-guide-to-clean-data](https://b-greve.gitbook.io/beginners-guide-to-clean-data/)
- [GitHub - gvwilson/12-design: Ten Quick Software Design Tips for Data Scientists](https://github.com/gvwilson/12-design)
- [https://mode.com/sql-tutorial/](https://mode.com/sql-tutorial/)
- [SQL Style Guide | GitLab](https://about.gitlab.com/handbook/business-technology/data-team/platform/sql-style-guide/)
- [https://sqlbolt.com/](https://sqlbolt.com/)
- [GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning](https://github.com/EthicalML/awesome-production-machine-learning)
- [https://mlops.toys/](https://mlops.toys/)
- [https://ml-ops.org/](https://ml-ops.org/)
- [https://landscape.lfai.foundation/](https://landscape.lfai.foundation/)

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**Author:** ![fonylew](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dataengineercafe.io/fonylew/32/300_2.png) [@fonylew](https://discuss.dataengineercafe.io/u/fonylew)\
**Post date:** [November 25, 2023, 12:07pm UTC](https://discuss.dataengineercafe.io/t/about-the-learning-resource-category/321/3 "2023-11-25T12:07:37Z")

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วันนี้เพิ่งเจอ DagsHub มาค่ะ [https://dagshub.com/](https://dagshub.com/) น่าสนใจดี เป็นตัวที่ต่อกับ GitHub + MLFlow + DVC ฯลฯ รวมไว้ที่เดียว เว็บ landing page สวยด้วย 55

ตัวอย่างที่เห็นมาค่ะ : [BexTuychiev/pet\_pawpularity | DagsHub](https://dagshub.com/BexTuychiev/pet_pawpularity)