I really like to play around with the different implementations so far. But it is still a lot of playing around. I have a bit of a LookML past with all the pros/cons (you covered them well).
From the integrated ones I enjoy the Lightdash one most - it's already where I usualy prepare the data (dbt), their approach makes more sense than the dbt one (at least for me). And like you, I am hoping there will be more people asking for charts and dashboards as code.
In two new projects I am starting to work with Cube in small scale scenario and so far I really like to work with it. But I am still scratching the surface.
Semantic Superiority - Part 3
Hey David, good stuff
You have a great series of articles about the semantic layer; I'm learning a lot from you.
i have one question, tho.
what you meant with
> I hope we are in agreement that things like OLAP cubes in their original implementations (like Microsoft SSAS) aren’t a good idea going forwards
I really like to play around with the different implementations so far. But it is still a lot of playing around. I have a bit of a LookML past with all the pros/cons (you covered them well).
From the integrated ones I enjoy the Lightdash one most - it's already where I usualy prepare the data (dbt), their approach makes more sense than the dbt one (at least for me). And like you, I am hoping there will be more people asking for charts and dashboards as code.
In two new projects I am starting to work with Cube in small scale scenario and so far I really like to work with it. But I am still scratching the surface.
This is helpful, David. The semantics layer is in flux and this article helped me understand what’s going on at the moment
GoodData is a BI tool with an open semantic layer - best of both worlds!?