ahmedNarrator

3 ms·

1. 1.▲
   by ahmedNarrator 6y ago

   Yeah DynamoDB is very much aligned with a single table. We do it in the customers warehouse so they have access to all their data. The real magic is how do you assemble the data into tables that can answer any question when the output tabl
2. 2.▲
   by ahmedNarrator 6y ago

   We would love that but Narrator works on any warehouse. To support that we built a query abstraction later that compiles to the flavor of SQL used by the customers warehouse. (We will open source that query abstraction later with a demo wh
3. 3.▲
   by ahmedNarrator 6y ago

   This is so great! You see exactly what we see and clearly you have shared similar experiences with dashboards not matching because of wrong table. (The good old "spent 3 weeks debugging an analysis using sales_data and then finally fou
4. 4.▲
   by ahmedNarrator 6y ago

   Activity, Customer, Time, Activity, 3 features, Revenue impact. source and source_id (for identity resolution) and a couple of meta data columns. You can see some example transformations here: https://docs.narrator.ai/docs&
5. 5.▲
   by ahmedNarrator 6y ago

   Yeah, Entity modeling was one of the big inspirations to our approach. The main difference is how do you reassemble the single time-series table to create any table. This was quite a challenge and I think what makes the traceability and so