Python Fundamentals For Data Engineering: Create your first ETL Pipeline

YouTube Excerpt: ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 - Intro 0:25 - Extract Transform Load Example 1:05 - Importing the right packages 1:55 - Extract 2:41 - Transform 4:56 - Load 6:00 - Running first ETL pipeline 8:00 - Outro ## Intro - In the field of data engineering, you are frequently required to read and manipulate data. - Python is the tool of choice to achieve that. - In this video, we will cover the fundamentals of Python you need to become a data engineer - If you are a beginner at coding, there is no need to get overwhelmed with complexities, the idea is to start small and over time as you use more in your daily workflow, the better you will get - So for Data Engineering you should treat Python as a language to provide a means to an end, don’t need to master it, but you will use this a lot. In this video, I will cover a sample project to build your first ETL pipeline GitHub Link: https://github.com/syalanuj/youtube/blob/main/de_fundamentals_python/etl.py FOLLOW ME ON MEDIUM: https://medium.com/@syal.anuj​ INSTAGRAM: https://www.instagram.com/anujsyal/​ TWITTER: https://twitter.com/anuj_syal GITHUB: https://github.com/syalanuj​ WEBSITE: https://anujsyal.com #python #dataengineering #bigdata #etl #extract #transform #load #tutorial

▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 - Intro 0:25 - Extract Transform Load Example 1:05 - Importing the right packages 1:55 - Extract 2:41 -...

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