Semantic Layer
topic on 2 shows · 4 statements across 2 episodes
4 statements about Semantic Layer, every show
Tristan Handy: The semantic layer centralizes meaning like data platforms centralize data
“The semantic layer in the same way that like a cloud data platform centralizes data, so you can all use the same data. The semantic layer centralizes meaning. How do you actually analyze that data to produce a particular business metric?”
Keydunov: The semantic layer is the ideal repository for AI data context
“So our take of that and my take is that semantic layer is just really good place for this context to live because you need to give this context to the humans. You need to give that context to the AI system anyway, right? So that's why you define metric once an…”
Keydunov: Querying a semantic layer over raw SQL reduces LLM errors
“Now, the query, I believe, should be created against semantic layer, because it reduces the room for the error, because what usually happens is that your query to semantic layer would be very simple. It would be like, give me that metric grouped by that dimens…”
Keydunov: Semantic layer metrics should be managed as code via pull requests
“So I think we should treat our metrics and we are in semantic layer as a code, right? And then collaboration is a big part of it. You know, like if there are like a multiple teams that sort of have a different opinions, let them collaborate on the pull request…”