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vndrewlee

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[untitled]

1 points·by vndrewlee·2 years ago·0 comments

[untitled]

1 points·by vndrewlee·2 years ago·0 comments

Hashquery, a Python framework for defining and querying BI models

hashquery.dev
9 points·by vndrewlee·2 years ago·1 comments

Show HN: Free BigQuery Cost Analyzer

bigquerycost.com
2 points·by vndrewlee·2 years ago·0 comments

[untitled]

1 points·by vndrewlee·3 years ago·0 comments

BI demo in a box with DuckDB and dbt

hashboard.com
3 points·by vndrewlee·3 years ago·0 comments

Choosing the Right BI Tool to Grow a Data-Driven Culture

glean.io
4 points·by vndrewlee·3 years ago·0 comments

I stopped worrying and learned to love denormalized tables

glean.io
108 points·by vndrewlee·3 years ago·98 comments

comments

vndrewlee
·2 years ago·discuss
Joining logic is defined in our data modeling layer, either from Hashboard (our BI tool) or can also be defined in Hashquery as well instead of replying on your database schema for fk relationships. We went this route since a lot of people are using dbt generated tables.

https://hashquery.dev/docs/pattern_guides/joins/
vndrewlee
·2 years ago·discuss
Hashquery is a new toolkit for defining, importing, and executing your data models and business metrics.

Hashquery is capable of expressing complex, multi-layered data queries, way beyond the capabilities of standard SQL. It natively integrates with Hashboard, with more semantic layer integrations to come. And unlike a DSL, Hashquery is fully composable and extensible — it's just Python.