#other #python #learning #lists #data_science #data #machine_learning #youtube #awesome #statistics #ai #deep_learning #math #ml #resources #artificial_intelligence #data_analysis #awesome_list #dataengineering
https://github.com/benthecoder/yt-channels-DS-AI-ML-CS
https://github.com/benthecoder/yt-channels-DS-AI-ML-CS
GitHub
GitHub - benthecoder/yt-channels-DS-AI-ML-CS: A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering…
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc. - benthecoder/yt-channe...
#python #data_engineering #data_quality #data_quality_monitoring #data_science #database #databricks_sql #dataengineering #dataquality #mysql #oracle_database #postgres #postgresql #rdbms #snowflake #sql #trino
https://github.com/datafold/data-diff
https://github.com/datafold/data-diff
GitHub
GitHub - datafold/data-diff: Compare tables within or across databases
Compare tables within or across databases. Contribute to datafold/data-diff development by creating an account on GitHub.
#other #apachespark #awesome #bigdata #data #dataengineering #sql
This handbook is a comprehensive guide to help you become a great data engineer. It provides a roadmap to get started, including hands-on projects, interview tips, and recommended books. You can join various communities and follow newsletters to stay updated. The handbook also lists top companies, blogs, whitepapers, YouTube channels, podcasts, and courses that can help you learn and grow in data engineering. Using these resources, you can gain practical knowledge, network with professionals, and stay informed about the latest trends and technologies in the field. This will help you build a strong foundation and advance your career as a data engineer.
https://github.com/DataExpert-io/data-engineer-handbook
This handbook is a comprehensive guide to help you become a great data engineer. It provides a roadmap to get started, including hands-on projects, interview tips, and recommended books. You can join various communities and follow newsletters to stay updated. The handbook also lists top companies, blogs, whitepapers, YouTube channels, podcasts, and courses that can help you learn and grow in data engineering. Using these resources, you can gain practical knowledge, network with professionals, and stay informed about the latest trends and technologies in the field. This will help you build a strong foundation and advance your career as a data engineer.
https://github.com/DataExpert-io/data-engineer-handbook
GitHub
GitHub - DataExpert-io/data-engineer-handbook: This is a repo with links to everything you'd ever want to learn about data engineering
This is a repo with links to everything you'd ever want to learn about data engineering - DataExpert-io/data-engineer-handbook