Platforms; Dbt; Apache Iceberg in 2 sentences; ThDPTh #47





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Three Data Point Thursday
Platforms; Dbt; Apache Iceberg in 2 sentences; ThDPTh #47
By Sven Balnojan  • Issue #51 • View online
I just read the simplest explanation of a table format like Apache Iceberg.
Go read it too! See below…
I’m Sven, I collect “Data Points” to help understand & shape the future, one powered by data.

Svens Thoughts
If you only have 30 seconds to spare, here is what I would consider actionable insights for investors, data leaders, and data company founders.
- Table formats like Iceberg, Hudi, Deltalake challenge the snowflakes of this world. By bringing the same functionality, but the ability to exchange parts on the fly, table formats might completely wipe out the vendor-lock-ins Snowflake et. are currently building up.
- If the user needs a cheat sheet, your product probably needs a usability update.
- Platforms are hard to define, but taking a general perspective actually makes them much more manageable. Baldwin & Woodard take the architecture perspective that distinguishes just three parts of a platform, which makes it really easy to manage the big picture of ANY (and I mean any) platform.
- Using the architecture perspective, an internal developer platform is managed the same way an external marketplace is.
- There is likely no platform where the so-called “complements” do not change over time or in cross-section. Although it is tempting to think so.
🎁 Notes from the ThDPTh community
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.
Pierre Brunelle, the CPO of (I had to type that in three times till the auto-correct stopped auto-correcting!) explains his vision for the collaborative notebook platform
Prukalpa Sankar, the co-founder of Atlan, recently published an article called Data Governance Has a Serious Branding Problem in TDS.
Only for email-based subscribers & interesting data-related topics: To share your projects just reply to the email and leave me a quick note with your name, company, and one sentence about your article/ project. I select a small list of the most fitting pieces.
🎄 Thanks => Feedback!
Thanks for reading this far! I’d also love it if you shared this newsletter with people whom you think might be interested in it.
Data will power every piece of our existence in the near future. I collect “Data Points” to help understand & shape this future.
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And of course, leave feedback if you have a strong opinion about the newsletter! So?
P.S.: I share things that matter, not the most recent ones. I share books, research papers, and tools. I try to provide a simple way of understanding all these things. I tend to be opinionated. You can always hit the unsubscribe button!
Did you enjoy this issue?
Sven Balnojan

Data; Business Intelligence; Machine Learning, Artificial Intelligence; Everything about what powers our future.

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