BEAUTY
In simplicity
Passion in what you do, dedication in how you do it.
There is honesty in simplicity, whether in data management, photography, or cooking. Start from the fundamentals and let complexity grow naturally
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Holding the Book
There’s something different about holding the physical copy versus seeing it on a screen for months. Every page catches something a digital review missed, a line break that lands wrong, a diagram that needs more breathing room, a paragraph that ran longer than it should have. Small fixes, but the kind that matter before this…
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Data Architecture Patterns: Decisions for the AI Era
Lambda, Kappa, Medallion, Data Mesh, Data Lakehouse, and Semantic Architecture show up in almost every data architecture overview, usually as boxes with a one-line description each. That’s fine as a glossary, but it doesn’t tell you much about what happens once you build one. Here we go a layer deeper: for each pattern, we cover…
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MDM Implementation Styles: Analytical vs. Operational
We rarely see Master Data Management programmes pick a single, fixed architecture on day one. Instead, most fall along a spectrum: from lightweight styles that support reporting and analytics, to heavier styles that put MDM directly in the path of live business transactions. Once you understand where a given implementation style sits on that spectrum,…
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The Importance of Measuring Data Quality from a Process Perspective
When we talk about data quality, we default to a snapshot mindset: pull a sample, run some checks, score the dataset, move on. It is a useful habit, but it treats data quality as a property of a table rather than as the outcome of everything that happened before that table existed. Quality that holds…