What tools should you know as a Data Engineer? 

Hi. I tried the link but it says "forbidden". Is there another way to access the pdf? Thanks

Or just turn on subtitles ^ ^ but thanks for the effort :D

Thanks Turk! Much appreciated

Definitely stick with it! One thing to remember is while there are many tools, you don't need to know ALL of them to have a successful career and you also don't need to learn all at once (it takes a whole career to do that). Here is a recommendation to help you get started: 1. Start with getting very comfortable w/ SQL (and/or Python if you'd like) 2. Learn more about data modeling techniques (ex. dimensional modeling, star schema) and the way data typically moves (ex. ETL vs ELT) 3. Pick a common database to study and practice on (ex. Snowflake or SQL Server) 4. Learn how to use a tool like dbt to transform data within those databases which also will show you other important concepts like Version Control 5. Pick a data visualization tool (ex. Power BI or Tableau) and use your transformed data to make a cool dashboard 6. Pick another part of the process (ex. Extract tools, scheduling tools, etc.) and keep adding to your skillset Good luck!

@@KahanDataSolutionsI really want to thank you for this thoughtful response and the road map provided. I honestly didn't expect this swift response and it shows that you love what you do! I will defo stick with it and hopefully make a successful career out of it. Thanks again 💪🏿

@@KahanDataSolutions this is a pretty good list! You could probably even do a video talking about this process

@@KahanDataSolutions Thank you for your extra detailed explanation to Adam 1. I would like to ask that this video would be more helpful for senior people who is deciding what their companies should use depend on their business case and requirements?

And about the spreadsheets part, you are def right. We are using Google spreadsheets and using python to automate the process to write our outputs there.

I got you! You're definitely not alone in that feeling so I figured it'd be a good topic for a video

Much appreciated! Thanks for watching

Thank you!

It depends where you store data on-primese or cloud.

Glad it was helpful!

Good call - Thanks for watching

Glad to hear it! That was the goal

Thanks! Databricks would fall in the same area as "cloud databases". Spark would fit in around the "ELT Components" and used primarily to process large amounts of data.

Glad it was helpful!

Same..

Thank you!

I agree that the term is a bit odd, but that's what has stuck as of today. Another term you might see used to describe that process is "Operational Analytics"

If you are applying for a job that uses it, then yes. I'm sure there are still many companies that use it.

That's a good one too. I personally haven't used Pandas much but I know others do.

Or Spark/Databricks