ETL pipeline example in 20 seconds | Data Engineering Tutorial for beginners

Every day more than 8.000.000.000+ google searches are done.
Imagine how much data that actually generates?
Someone has to learn how to control all those.
That someone is called a Data Engineer.

Start by learning Python, SQL, and Databases. Add a solid portion of data structures and algorithms to it and you are good to go to build your first data engineering project.

The problem I saw so far is, that many videos on YouTube start with Big Data tools and don't cover the basics of the basics. That's why I created this video!

Data Engineers are not Data Scientists. That's the biggest misconception.
Data Engineering is the process of building automated systems to make different data available for Data Scientists, Data Analysts, or your next client.

Check out my channel for more videos related to Data Engineering!

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Is extracting and orchestration same??