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James Bartlett :terminal:<p>UPDATE: Hey everyone, there was a problem with the Restream-to-LinkedIn connector, and as we were attempting to restart the stream, the event on LinkedIn disappeared. We&#39;re not sure what caused this issue, but we are re-scheduling this event. Please stay tuned for the new date and time!</p><p>Today on <a href="https://techhub.social/tags/TheDrillDown" class="mention hashtag" rel="tag">#<span>TheDrillDown</span></a>, Ahmad and I are honored to be joined by a very special guest, <span class="h-card" translate="no"><a href="https://techhub.social/@Jkerski" class="u-url mention">@<span>Jkerski</span></a></span>! We&#39;ll be drilling down into the topic of integrating <a href="https://techhub.social/tags/DataOps" class="mention hashtag" rel="tag">#<span>DataOps</span></a> tools and principles into your <a href="https://techhub.social/tags/MicrosoftFabric" class="mention hashtag" rel="tag">#<span>MicrosoftFabric</span></a> and <a href="https://techhub.social/tags/PowerBI" class="mention hashtag" rel="tag">#<span>PowerBI</span></a> workflows. Join us at 2PM Central time! <a href="https://lnkd.in/gbegXeAc" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">lnkd.in/gbegXeAc</span><span class="invisible"></span></a></p>

The MLOps skillset is evolving! 🤯

Reddit shows a clear trend: DataOps is emerging as a distinct specialization, separate from traditional DevOps.

Is your organization prepared for this shift?

Full blog post: dougortiz.blogspot.com/2025/05

What training programs are you implementing to address this emerging DataOps talent gap?

dougortiz.blogspot.comThe Quiet Revolution in MLOps: DataOps Emerges as the Critical Skill

𝐇𝐚𝐫𝐝𝐜𝐨𝐝𝐢𝐧𝐠 𝐢𝐬 𝐇𝐮𝐫𝐭𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐓𝐞𝐚𝐦

Still hardcoding values in your data pipelines?
👎 It’s slowing down scaling.
👎 It creates more bugs.
👎 It’s not enterprise-ready.

Learn how to parameterize Azure Data Factory like a pro - with real-world strategies you can apply immediately after training.

💥 Save your team hours of rework.
💥 Build once, reuse forever.

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🎁 1st 20 registrants get the bonuses!

🔗 Get your seat: entdna.com/product/advanced-az

Picked up "Python Polars the definitive guide" by Jeroen Janssens and Thijs Nieuwdorp. The polar bear was already used on another O'Reilly book, but the Iberian lynx is cool.

Never sure how tech books will pan out, but Jeroen's book data science at the command line was a good one, so I am hopeful.

What breaks if I change this column?

Read our technical deep-dive into how Recce constructs column-level lineage from #dbt models

- How we track column origins and transformations using SQLGlot

- How we classify columns as pass-through, renamed, derived, or source

- How we handle tricky edge cases like SELECT *, name collisions, and macro expansion

Read more:
datarecce.io/blog/column-level

Recce · How Recce Performs Column-Level Lineage: Our Approach to SQL TransformationsA technical deep dive into how Recce constructs column-level lineage using SQLGlot. We break down scope traversal, AST analysis, transformation classification, and the challenges involved in building reliable lineage across complex SQL models.

💶 𝗧𝗵𝗲 𝗵𝗶𝗱𝗱𝗲𝗻 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗰𝘂𝘁𝘁𝗶𝗻𝗴 𝗰𝗼𝗿𝗻𝗲𝗿𝘀? 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗱𝗲𝗯𝘁, not just another corporate buzzword but the silent killer of efficiency, innovation, and organizational success.

👉 Understand what technical debt means in a datamanagement context.
datalumen.eu/technicaldebt_dat

#DataGovernance #DataManagement hashtag#DataArchitecture #DataOps #DataOpsFramework #DevOps #DataStrategy #DataAgenda