Jacki Farrow

What makes Elizabeth Archer’s article especially useful is how concise and visual it is. You don’t have to wade through theoretical debate, you get screenshots, step-by-step instructions, and exactly what…

Baraa Khatib Salkini reframes data architecture not as an advanced technical badge, but as a craft of design thinking. It dives into the questions great architects ask – about consistency,

Dawn Harrington’s tutorial bridges theory and practice: it doesn’t just tell you what to do, it shows why those calculations work, and when you might need to tweak them (for

Samad Husain’s article gives recognition where it’s due: to the data engineers who catch formatting inconsistencies, anticipate edge cases, clean “dirty” inputs, and glue together complex systems. It also helps

Beyond the mechanics, Ken Flerlage’s post gives you a mindset shift. Instead of “Let everyone build whatever they want (and hope nothing breaks),” it shows how you can offer controlled

Whether you’re a data analyst, a BI developer, or just someone who deals with spreadsheets regularly, Robin Jones‘ explanations make these common operations less scary and more methodical. If you

This isn’t just a critique, it also prompts you to rethink your own design habits. Jonathan Schwabish’s piece doesn’t demand a rigid “rule,” but suggests better practices, questions assumptions, and

You’ll see real examples, tips that come from experience (like how to avoid missing data or misapplied filters), and guidance on how to think more deliberately as you build your

What makes Shaun Davis‘ post particularly worth your time, is its pragmatic balance: strategy and execution. Instead of vague “big‑picture” platitudes, you’ll see what kind of steps leaders have taken

Joss Lazenby breaks down the logic step by step – using functions like CONTAINS and LOWER to make the search case-insensitive, and then wiring it together with filter actions so