Most of the work in building a Data Vault isn't the code. It's the design. Reading metadata, profiling samples, identifying business keys, capturing definitions nobody updates later. We filmed a walkthrough of the IRiS Assistant doing exactly that work. One source table, start to finish: profiled, modelled, definitions captured, production-ready metadata pushed to the repository, in a single conversation. If you've ever sat through the design phase of a Data Vault build, this is worth eleven minutes. The IRiS Assistant is live in beta: https://ignition-data.com/iris-assistant

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Anyone else come across this - the efficiency illusion in software engineering? It's the phenomenon of feeling like AI coding is faster but you have to work so much harder mentally to correct the mistakes or verify everything is working. I had this issue just this last weekend - I spent more time testing and checking actual code for a new tool for a website because as fast as AI helped with the code, it kept buggering things up, removing features, adding features then removing copy, removing copy and losing data. Anyway, this week's Data Pro News Podcast explore the AI Paradox - it'a available now on YouTube and where ever you get your Podcasts, just search for the Data Radio Show!

97 issues in, I wanted to stop and look at where we are heading. Not the weekly news. Not the tool releases or the model benchmarks. The bigger picture: What has actually happened to us as data engineers over the last two years, and what does it mean for where our careers go from here? The profession has split into two groups. One group is more in demand than ever. The other is already feeling the automation squeeze - and oftentimes they're not aware of it yet. This week's newsletter is a full retrospective across all 97 previous editions. I've traced the three forces that reshaped the job (one economic, one regulatory, one physical), named what separated the engineers who thrived from those who struggled, and mapped what the next horizon actually looks like from here. Checkout datapro.news Video edition here 👇 What is your read on where the profession is heading?

We said watch this space. Here it is. The IRiS Assistant is live. It connects to your source data, profiles it, and walks you through the integration model design one source at a time. Each table lands where it belongs, extending the model where new territory is needed and integrating cleanly where structures already exist. Which relationships need history and what terms need definitions. All captured as you go, all landed in your repository as a versioned, auditable record. The design phase used to be the expensive part. The part that needed weeks of senior architect time before a line of code got written. Not anymore. Learn more about the IRiS Assistant here: https://ignition-data.com/iris-assistant