A Decade In Data Engineering - Has Anything Actually Changed?

Data engineering as a job title has been around for a little over a decade.

In that decade we have seem massive changes occur in that 10 year span.

We went from Hadoop, to redshift to snowflake.

Airflow became popular.

And so much more.

If you enjoyed this video, check out some of my other top videos.

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.

[minthura]

Thanks for the video! Love your cats as well.

[willemhekman]

Coming from someone switching from teaching physics at the moment (quantum physics / data science background) back into data aspiring to work as a data engineer, thanks for the clear overview (having now watched a few videos on the history).

[Soonicx]

Holy shit this videos are really on point.

[UdiShvekey]

Wonderful summary. I really like your analysis and point of view!
I agree with most of the stuff discussed here, and, to add my 2 cents, talking from a decade of experience plus plus... I think what we are seeing is more of the same... I even with the rise of snowflake and databricks, can't spot any real innovation or change. It is all just building on the same old tech.
But perhaps the innovation should come from the actual organizations and their data strategies (which most of them simply don't have!)

[polloiaesthesis]

Your videos are really on point.
The data industry is indeed always changing and it is hard for customers to keep with this pace of new releases. It is even harder to see the value you could get from implenting one of the new kid on the block in the data industry as many tools appear to fix issues of a former one, which is not really easy to sell to customers with tight budgets.
Now there is all the fuze around data observability, but this adds more licences to the whole landscape without giving a clear ROI to customer who want to implement it.
Where do you feel the industry will go to?
More and more to a constellation of scattered solutions we need to inegrate and make work together or to the data platforms/fabrics that try to be the one-stop-shops of the data world?
I personnaly think the latter will be predominant in the large enterprises but your input interest me a lot. :)

[arslanarshad]

please provide full course of data engineer basic o advanced.,
thanks you

[thsstphok]

Hey Ben, I started learning data engineering some weeks ago. I'm loving everything and your channel is helping me the most. My only problem right now is the fear of using AWS and explode bills cost because of mistakes. I know it's possible set alerts or even scripts that are triggered by alerts to kill all resources but the fear don't go away. I'm learning and I know I will make mistakes, but what I can do to minimize the risks? Thank you!

[willi]

always migrating data since the stack continually changes

[bskucgf]

hey any palantir update? do you use the software or whats going on?

[godfrey]

Can you do a vid about migrating data from a traditional db to cloud (preferably snowflake)

[Mr_Jacquees]

Hello, my major is MIS, I want to become data engineer, I thought to start first as data analyst and work my way up to data engineer. What do you think?

[hubstrangers]

presently there are loads of (> 80%) doesn't know how to write or extrapolate Hadoop, MapR and Hadoop ecosystem code, consider themselves to above "Engineers" or "Science", "ML", "DevOp" or even "Developers" position, drawing more than whatever figure remuneration what's modern cloud companies have brought this sector, is it sad or progress, sorry the latest being ChatGTP's in the "ML"

[anildangol]

What happened to color of your video? LOL

[paolocortez]

yep i don’t know how to do any of those and i am a data engineer. i’ll probably never need to know any of that information.