You are currently standing 5,000 feet in the air, four feet past the edge of the cliff. The only reason you haven’t fallen yet is that gravity hasn’t caught up to your architecture. If you are a corporate executive, board member, or data leader, you likely believe you are on solid ground. Your engineering teams…
The technology industry has sold executive leadership a lethal lie: that natural language prompts, basic vector databases (RAG), and “guardrails” are enough to govern autonomous systems. They aren’t. Treating probabilistic inference as operational truth isn’t just an engineering shortcut. It is a fundamental betrayal of architecture that is already causing catastrophic, real-world harm. Writing a…
The enterprise honeymoon with Generative AI is ending, and the hangover is going to be measured in regulatory fines, failed compliance audits, and unmitigated exposure. We rushed to adopt large language models because they delivered immediate, shiny, and authoritative-sounding answers. In our rush, we allowed humanity, governance, ethics, and fundamental architectural discipline to take a…
Embracing Many-to-Many Relationships in Data Modeling: A Technical Guide PREFACE: there is another false belief out there: Many-to-many (links, pits, bridges) are bad and lead to join hell, and should never be used. WRONG…. want to know why? read on. Note: anyone who claims “LINKS ARE BAD” or “MANY-TO-MANY should never be used” needs to…
In Episode 2 of Unlocking the Data Vault, I mentioned the term: Poison Data. I must admit, it’s a cool term, and I also admit the term is not mine. It stems from espionage in an attempt to poison data that feeds AI / ML and deep learning algorithms. It distorts documents, imagery, video, and…
Come TALK TO ME LIVE! Bring your questions – even if they aren’t about Agile Implementation, this is your chance to talk with me live. The Data Vault 2.0 Agile Implementation Cycle is a key piece and very often misunderstood. Using and leveraging it correctly can make or break your projects. Too many teams get…
In today’s world, data is king, and businesses that can harness the power of data are the ones that will succeed. The ability to gather, store, analyze, and use data effectively is crucial for businesses to make informed decisions, improve their products or services, and drive growth. This is why having a solid data infrastructure…
Call it back-dated data, call it real-time feeds, call it old data arriving late, call it what you will. The problem has persisted since day 1 of systems creating, feeding, and sharing data. But the problem is deeper than just systems. The problem lives on whenever business users can and must back-date data. What does…
I founded the Data Vault Alliance to bring together the global community of practitioners and experts. I am extremely excited that we are taking another step towards this goal by launching the DVA in Australasia this March with a full-day conference. Join us here https://bit.ly/36IwTaX
Too many consultancies provide the following advice: Model your data warehouse with source system relationships, maintain source system referential integrity. In this article we will explore why: a) this is really bad advice, and b) leads to a rigid data warehouse requiring re-engineering when loading a new source. If you want to build a data…
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You are currently standing 5,000 feet in the air, four feet past the edge of the cliff. The only reason you haven’t fallen yet is that gravity hasn’t caught up to your architecture. If you are a corporate executive, board member, or data leader, you likely believe you are on solid ground. Your engineering teams…
The technology industry has sold executive leadership a lethal lie: that natural language prompts, basic vector databases (RAG), and “guardrails” are enough to govern autonomous systems. They aren’t. Treating probabilistic inference as operational truth isn’t just an engineering shortcut. It is a fundamental betrayal of architecture that is already causing catastrophic, real-world harm. Writing a…
The enterprise honeymoon with Generative AI is ending, and the hangover is going to be measured in regulatory fines, failed compliance audits, and unmitigated exposure. We rushed to adopt large language models because they delivered immediate, shiny, and authoritative-sounding answers. In our rush, we allowed humanity, governance, ethics, and fundamental architectural discipline to take a…
Embracing Many-to-Many Relationships in Data Modeling: A Technical Guide PREFACE: there is another false belief out there: Many-to-many (links, pits, bridges) are bad and lead to join hell, and should never be used. WRONG…. want to know why? read on. Note: anyone who claims “LINKS ARE BAD” or “MANY-TO-MANY should never be used” needs to…
In Episode 2 of Unlocking the Data Vault, I mentioned the term: Poison Data. I must admit, it’s a cool term, and I also admit the term is not mine. It stems from espionage in an attempt to poison data that feeds AI / ML and deep learning algorithms. It distorts documents, imagery, video, and…
Come TALK TO ME LIVE! Bring your questions – even if they aren’t about Agile Implementation, this is your chance to talk with me live. The Data Vault 2.0 Agile Implementation Cycle is a key piece and very often misunderstood. Using and leveraging it correctly can make or break your projects. Too many teams get stuck here or do this incorrectly, causing all sorts of issues.
In today’s world, data is king, and businesses that can harness the power of data are the ones that will succeed. The ability to gather, store, analyze, and use data effectively is crucial for businesses to make informed decisions, improve their products or services, and drive growth. This is why having a solid data infrastructure…
Call it back-dated data, call it real-time feeds, call it old data arriving late, call it what you will. The problem has persisted since day 1 of systems creating, feeding, and sharing data. But the problem is deeper than just systems. The problem lives on whenever business users can and must back-date data. What does…
I founded the Data Vault Alliance to bring together the global community of practitioners and experts. I am extremely excited that we are taking another step towards this goal by launching the DVA in Australasia this March with a full-day conference. Join us here https://bit.ly/36IwTaX
Too many consultancies provide the following advice: Model your data warehouse with source system relationships, maintain source system referential integrity. In this article we will explore why: a) this is really bad advice, and b) leads to a rigid data warehouse requiring re-engineering when loading a new source. If you want to build a data…