Ten Of The Funniest Data Memes
Ten Of The Funniest Data Memes
Capturing Years Of Struggle In A Picture With A Few Words
Over the past year or so I have put together quite a few memes that attempt to encapsulate the humor and struggle that data teams face daily .
And since I saw that
recently aggregated some of her growth memes in an article last month, I wanted to do the same!So here are my favorite 10 data memes I’ve created!
1. Can We Just Get That In Excel
If you’ve worked in data for even a few months, you’ve likely built some dashboard that despite all your hard work, is exported to Excel.
2. Thousands Of Dashboards, None Being Used
I have worked at several enterprises, many with thousands of dashboards. Of which only about a handful are used.
3. Data Scientists Don’t Need Reliable Data Right?
A lot of data scientists I have worked with have had to work for companies who didn’t have reliable data sets. This often leads the data scientists essentially becoming data engineers.
4. First Day On The Job
No matter how well the interview goes and how cool the projects sound, sometimes your first day as a data engineer is still like this.
5. What Is Money
One of the challenges many companies face is picking the right solution, do you build, go open source, go with vendor A that costs 10k or the one that is going to cost 200k?
6. You Should Fix Data At The Source…
Most data engineers will tell you it’s best to fix data at the source. But sometimes it’s hard to fight the urge to just use SQL to fix it in the data pipeline.
7. Airflow Is Easy, Until It’s Not
Airflow is likely the most popular open-source workflow orchestration tool. And despite the tutorials making it seem easy, scaling out Airflow is not.
8. Our Data Person Is A Rockstar
It’s very common for me to come into a company and review their data infrastructure that was built by a single person who eventually left and now no one knows how it all works.
9. SQL Has The Least Ambiguous Error Messages
If you know, you know.
10. AI Is One Of Our Initiatives This Year
I have now, 3 times seen decks from companies where AI is simply a goal for the next year. No context, just AI.
🎁 BONUS - 11. What Is A Customer Anyway?
Between some data teams trying to big bang their architecture and others not talking to the business to understand what certain definitions should be, a simple question can suddenly take months if not years.
State Of Data Engineering And Infrastructure 2023!
If you missed it, last year we had well over 400 people fill out a survey to help provide insights into the data world. If you’re interested in participating, then please check out the survey here!
We would love to have 1000 people fill out the survey this year so we can share with our readers. You can also check out the articles from last year here.
Join My Data Engineering And Data Science Discord
If you’re looking to talk more about data engineering, data science, breaking into your first job, and finding other like minded data specialists. Then you should join the Seattle Data Guy discord! We recently passed 4000 members!
Articles Worth Reading
There are 20,000 new articles posted on Medium daily and that’s just Medium! I have spent a lot of time sifting through some of these articles as well as TechCrunch and companies tech blog and wanted to share some of my favorites!
Kubernetes for Data Engineers
by
We do live in the Age of Containers, it’s the world we all live in. Docker has become standard. Data has grown. Everyone and everything is in the cloud. The Modern Data Stack we’ve all been working low these many hard years has only made the need for an agnostic and scalable container platform more real.
And this brings us to today’s topic.
End Of Day 110
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