Saw this posted elsewhere and thought maybe somebody would find it useful. This could improve the user onboarding experience but might take too much extra effort to apply to every dashboard.
https://thevizcollective.starschema.com/posts/tableau-guided-tour-part-1Open linkView original on lemm.eethese colorful maps show how the Mississippi River banks moved around over time
& they are so beautiful I want to put them up on the wall as art
https://publicdomainreview.org/collection/maps-of-the-lower-mississippi-harold-fiskOpen linkView original on lemm.eeA chiral aperiodic monotile David Smith, Joseph Samuel Myers, Craig S. Kaplan, and Chaim Goodman-Strauss, 2023
I joined lemm.ee and I'm honestly really liking it so far. @[email protected] is doing a great job!
However, I'm wondering if I should create a new account on programming.dev (or somewhere else) to be closer to where data science / data engineering conversations are happening.
Or maybe there's a way to promote [email protected] to folks on other instances? (I didn't create this one but I'm hoping it's discovered by others soon)
I get questions like this a lot:
Data lineage is such a chronic issue in data engineering. This blog post from Airbyte gives a good overview & mentions some interesting products/projects that can maybe help out with data lineage.
Unfortunately, I have limited flexibility to purchase or install tools for this in my current role. Anyone rolled their own solution for this?
https://airbyte.com/blog/what-is-data-lineageOpen linkView original on lemm.ee(pdf download at the bottom of the linked page)
Often the most challenging part of data engineering is figuring out what problem to solve in the first place.
The resources Stanford put in this Design Thinking Bootleg might have something that can help you work with others and build towards a well-designed solution.
https://dschool.stanford.edu/resources/design-thinking-bootlegOpen linkView original on lemm.eeI absolutely love Tableau - I've been using it virtually daily for about 10 years. I feel like it's been less and less widely-used since Tableau Software was acquired by Salesforce. At my org (and many others) leadership are pushing for PowerBI since it's cheaper (get what you pay for in my opinion).
Just curious if anyone else is feeling this / what tools you're exploring these days. I wish some open source project like Apache SuperSet would turn into a viable Tableau replacement but it's just not the same.
For Python developers, the NumPy array is a widely used data structure in data science / data engineering.
Thought this paper was a good resource to learn a bit more about the history and core concepts of NumPy.
Curious if other Spotify users are using the DJ feature. Can't decide if I like it or not yet.
I found this content super helpful and I frequently share this with new coworkers getting started in data / dev.
