nicholashandel

6 ms·

1.
by nicholashandel 1y ago
What kinds of things are you seeing people build? Curious on the use cases in prod!
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by nicholashandel 4y ago
That's right! That's a potential option for an integration. The other options are: - Transform's JDBC can be used to connect to tools that have SQL interfaces like Mode, Hex, Deepnote, etc.: https://docs.transform.
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by nicholashandel 4y ago
Totally agree with this ^
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by nicholashandel 4y ago
Yes! MetricFlow is core to everything we do so there will be tons of active development from our team.
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by nicholashandel 4y ago
I think those points are on the mark. I added some notes to the similar question that asked for a comparison of dbt, cube and MetricFlow! I'll just say Joins are hard, but if solved elegantly they allow you to do some really interestin
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by nicholashandel 4y ago
If you’re interested, the longer version: Semantics MetricFlow has a less configuration relative to these other frameworks. We accomplish this by choosing abstractions that allow us to handle more on our side at query time through the Data
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by nicholashandel 4y ago
I think it’s probably best to talk about this comparison in three areas: Semantics - The MetricFlow spec allows the construction of a much broader range of metrics with much less expression of logic or duplication of that logic than dbt or
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by nicholashandel 4y ago
Traditionally, querying business and product metrics for data analysis has required lots of ad-hoc sql queries. Often they are encoded in dashboards, in ETL pipelines, and others are copied directly. Semantic layers act as a single source o
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Show HN: MetricFlow – open-source metric framework(github.com)
98 points by nicholashandel 4y ago|26 comments