Data Engineering Isn't That Complicated

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Data Engineering Isn't That Complicated! Join us on a journey through the evolution of data warehousing, ETL processes, and the era of Big Data. See how data engineers and ETL developers work together to move data around using SQL, Java, Scala, or Python. Remember, at the end of the day, it's all just about moving data in and out!
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[@TheR0yalBeast]

Very clean

[@millionare1192]

Wow..had a lot of fun and it removed anxiety

[@splashoui3760]

"that's it"

[@saisathya7755]

Aio as an data engineer idk but several times i just laughed when you say moving data from one place to another 😂 but it was fun

[@ol880]

I dunno man, our management identified that our business may be at risk if nuclear warfare breaks out, so we are building a truly resilient platform which replicates data on Mars. We call it "Storm Data Warehouse", because there's not enough water on Mars to use a Cloud. We're also expecting that every person, dead or yet unborn will be incarnated as an AI consciousness, and thus will be our user, so we have to build high-quality robust pipelines that ingest exabytes of data in real-time, so that the CEO can bask in the glow of twenty-four screens that erupt to life as he wakes up at 4:32am to look at the KPI dashboards to change the world.

[@nullQueries]

But you only have a $3000 budget, and it needs to be done by June

[@user-vs2yl2up1l]

“In a world deluged by irrelevant information, clarity is power.”
Yuval Noah Harari