There are times when a problem nags at you like a pebble in your shoe. Even when you're not working on the problem itself, you're thinking about the problem which make it even worse. Rarely do I come

When you think of your data warehouse, the "semantic layer" may not be the first thing that pops in your mind. Prior to reading Frances O'Rafferty's blog post on this topic, I didn't even know this wa

If you could only learn one programming language for the rest of your career, what would be it be? You could Google the most popular programming languages and just pick the one of the top 3 and off yo

This is a replay of an episode from theMake Sense podcastwith Lindsay Tabas. In the 1990s, large enterprises typically bought software in a tops-down approach. IT teams would get get Oracle softw

When you're organization is small, a centralized data team can take care of all the internal data tooling, reporting, and requests for all departments. As the team grows from 100 to thousands of peopl

This is a replay of an episode from the Citizen Development Live podcast with Neil Miller. Citizen development is a relatively new term I learned about a year ago or so. To me, it's using no-code t

I wasn't sure if this topic should be it's own episode but it's been on my mind ever since I came back from Atlassian Team '24 (Atlassian's annual conference). At the conference, I had the opportunity

With an undergraduate degree in zoology and a master's in public health, you wouldn't expect Amanda Makulec to lead a successful career in data analytics and data visualization. As we've seen with mul

We sometimes forget that a large organization is composed of groups and divisions. Within these groups, there are teams and individuals looking to advance their careers. Sometimes at the expense of ot

When you think of data journalism, you might think of The New York Times' nifty data visualizations and the Times' embrace of data literacy for all their journalists. Outside of The New York Times, I