The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Stancil: dbt's SQL-based semantic layer is not a real semantic model
“They're moving in, like, the semantic layer tool, so basically they're saying, give us raw data, and we will tell you, like, apply semantics to it. The way that they do that now is through SQL. So, like, semantics are kind of, like, air quote semantics. It's b…”
Stancil: dbt's initial ease of use may become its downfall
“Dbt is, I think, really popular because it's so easy to get up and running, but it may also eventually be, like, if it had an undoing, to me that would be the undoing, is the thing that was really easy to get up and running doesn't actually solve the real prob…”
Handy: Data processing will be polyglot with non-SQL abstractions within five years
“We really do think that the future of data processing is polyglot, and I think that if you look in five years, you will find more robust abstractions on top of data, and even in the DBT ecosystem, than SQL.”
Narayan: Streaming will remain niche until tooling matches batch systems
“Until streaming gets to the same level of tooling, and a large part of that tooling is dbt as existing batch systems you know, it will still remain a fairly niche technology.”
Handy: The core modern data stack architecture remains a good idea
“When people started using the term modern data stack, there was a there, like fivetran, dbt, mode, looker, et cetera. These are tools that. Were built around an idea of how data technology should work. And it was a, it was, and is a good idea.”
Meroxa bypasses data warehouses to transform data on every real-time event
“What we do this differently is that we act off of every single event. So every time there's a database transaction, somebody calls your API, they interact with your website that, that makes the API call that talks to the database. We can then transform that da…”
Handy: dbt's philosophy empowers data analysts to think like software engineers
“Yes, that is completely true.”
Fraser: dbt has emerged as the standard for data warehouse transformations
“Over the last couple of years, this great tool called DBT, which is an open source community. It's also a product, and there's a company called Fishtown Analytics that's the primary sponsor of DBT, but it's really emerged as the way to orchestrate transformati…”
Narayan: dbt serves as GitHub for SQL code
“I think of it as like GitHub for all of your SQL, right?”
Handy: dbt serves batch data workloads, not sub-100ms real-time applications
“There's a lot of data science that's done Internally where like you're doing predictive analysis that, you know, the data latency can be a day or it can be like last quarter's data is fine. And those data science workloads are often run on the exact same stack…”