Data Leadership, Learn Hex, Starships Data Mesh; ThDPTh #61
I’m Sven, and this is the Three Data Point Thursday. The email that helps you understand and shape the one thing that will power the future: data.
Another week of data thoughts:
Monte Carlo explains how data observability & testing relate (reader contribution)
Web3 Leadership skills also apply to the data space but are still completely underrated
Hex got it right, focus on learning & education, not on “great docs”
Starship builds a data mesh maintained by just one person. Part-time. because they already have a data-driven culture.
What: Morgan Beller from NfX explains the 4 new leadership skills of web3 founders. What makes them different and unique. The five skills she describes are being a:
1. System thinker
2. Community Leader
4. Pie Maker, Not Pie Taker
My perspective: This should be a must-watch for data company founders, data leaders, and VCs in the data space. When I watched this, a bunch of lightbulbs went off. It displays very well how I think the data space is becoming different than other software spaces right now. The data space is becoming increasingly complex and adopts more and more openness (usually in the form of open-source). In some parts, we’re seeing 50–80% of new start-ups betting on open-source. On top of that, the data space is in desperate need of protocol-level solutions to solve the “snowflake problem” that things don’t integrate well together. See the parallels now?
If you look at that from a higher level, at least to me it looks like the data space is much closer to the web3 space than the web2 space. It means these skills should be embraced by data leaders everywhere.
I suggest you look at it and think deeply about that. In fact, I had so much fun watching this that I already drafted a Thoughtful Friday just about that because I saw so many parallels playing out right now in the data space between dozens of companies.
What: The company hex technologies just redid its “documentation” now renaming it to “learn.hex.tech” which now features three areas:
My perspective: I love that shift. It is focused on the outcome, educating people, and getting them on board with this cool product, away from an output focus, trying to write exhaustive & accessible documentation.
At the end of the day, we want to get people to try our product. We do that by educating them. Then we want them to be able to use it real easy, otherwise, they churn. Again, that’s done by education.
None of these goals are achieved by docs, so I love that shift. Obviously, I am still not a huge fan of the complexity hidden behind these “doors”, I think these tools should work like the “5-minute WordPress Setup” or, say, my iPhone. But you only get there by focussing on the outcome, not output.
What: The company Starship has a neat data mesh setup. They shared it in this blog post.
My perspective: I enjoy the leanness of the approach! The key point: ownership doesn’t come from the platform, the technology. It comes from the company, a truly data-driven culture, people who take ownership and need data to drive things forward.
If you have that in place, then this lean approach works really well.
🎁 Notes from ThDPTh readers
I am always stunned by how many amazing data leaders, VCs, and data companies read this newsletter. Here are some of the reader’s recent noteworthy pieces. If you have one, just reply to this newsletter.
This week: Monte Carlo explains the relationship between data testing and data reliability for us.
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