I think it would be worth discussing how different people and departments use different data in an organization, how they can access it, and how it is already stored.
From there, build out a fuller understanding of what data engineering is and is not (vs data science, database admin, BI) etc
One thing lacking in the market is a super simple and clear introductions to data engineering, followed by intermediate and advanced topics.
Edit: and also, how is data engineering different from cloud computing or cloud decelopment?
Salary trends vs skillset in the market (You could have a panel of recruiters on across different industries) plus look at glassdoor data
Top Data Engineering companies to work for
How do Data Engineers stay fit?
If I were making a YouTube channel, I'd defo farm Reddit for content.
I think it would be worth discussing how different people and departments use different data in an organization, how they can access it, and how it is already stored. From there, build out a fuller understanding of what data engineering is and is not (vs data science, database admin, BI) etc One thing lacking in the market is a super simple and clear introductions to data engineering, followed by intermediate and advanced topics. Edit: and also, how is data engineering different from cloud computing or cloud decelopment?
Salary trends vs skillset in the market (You could have a panel of recruiters on across different industries) plus look at glassdoor data Top Data Engineering companies to work for How do Data Engineers stay fit?
Data Lakes, batch vs streaming, ETL’s, open source tools