Viewing profile — carlineng

This is really a question of economics. The biggest organizations with the most ability to hire engineers have need for technologies that can solve their existing problems in incre…

Not yet, but I believe the DataCouncil staff recorded it and will post it to their YouTube channel sometime in the next few weeks: https://www.youtube.com/@DataCouncil/videos

I just watched the author of this feature and blog post give a talk at the DataCouncil conference in Oakland, and it is obvious what a huge amount of craft, ingenuity, and care wen…

I agree 100% that this needs to be more of a thing. For data engineers building data pipelines, queries are like functions, and table schemas are like types. There needs to be a wa…

The argument is more than that -- namely that in addition to having sophisticated AI, Google also controls the OS (Android) and hardware (Pixel). Being able to integrate best-in-cl…

My favorite discussion of this topic is from David Beazley: https://www.youtube.com/watch?v=5C6sv7-eTKg He does a wonderful job of taking very dense mathematical notation and expla…

My understanding of Cube is that iterating on the data model requires the user to (1) write SQL to develop a metric (2) edit YAML or JS config to incorporate the new metric (3) iss…

Thanks for the kind words! Admittedly, a lot of the stuff you're asking about is still a work in progress, and we don't have good answers for it all just yet. The upside of that is…

Glad you asked! It is certainly usable for writing apps. We publish an npm package, and the Malloy VSCode extension [0] is one such example of an app built on top of it. There's al…

Semantic layers, also known as metrics layers or “headless BI”, have become a popular topic in the online data community in recent years. For all the hype, the idea hasn't seen muc…

I've written quite a bit about a new query language called Malloy: https://carlineng.com/?postid=malloy-intro#blog It's a semantic layer with an integrated query language that make…