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title: Talk slides template
tags: Templates, Talk
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---
# no bt in dbt anymore!
---

[Documentation for dbt models prepared this week](https://www.notion.so/houseware/c90868d4bb6a49c593a5acf67057e857?v=75a2bd0afd62477a96dcf391f20fbe59)
---
### :100: Objective
Replicate the metrics/tables that Sunil currently fetches manually. Current process:
- Download Excel reports from Stripe Dashboard
- Put the right filters, table joins and Excel macros
- Get the numbers!
# :tada: Automate it now
### git dbt what?

On running the SQL transformations:

### Transformed tables with Goqu
#### Example 1
```
sql, _, _ := goqu.From("test").ToSQL()
fmt.Println(sql)
```
converts to `SELECT * FROM "test"`
#### Example 2
```
sql, _, _ := goqu.From("test").Where(goqu.Ex{
"d": []string{"a", "b", "c"},
}).ToSQL()
fmt.Println(sql)
```
gives `SELECT * FROM "test" WHERE ("d" IN ('a', 'b', 'c'))`
__Mascot will now talk to these transformed tables via Goqu__
```
{
"source": "fivetran_stripe_houseware.houseware__customer_subscriptions",
"query": "select",
"fields": [
{
"source": "customer",
"aggregation": "distinct"
}
],
"filters": {
"and": [
{
"field": "customer",
"operator": "neq",
"value": null
},
{
"or": [
{
"and": [
{
"field": "organization",
"value": "CMD CTR, INC",
"operator": "eq"
},
{
"field": "is_subscribed",
"value": "true",
"operator": "eq"
}
}
]
}
]
}
}
```
### Challenges:
- Where are the tests?
- Discovered new operations like `SELECT extract(month from date)` that would be required in Mascot-Goqu
- Performance on the transformed tables - indexing on the tran?
- How will users host our dbt models? As dependencies?
- How do we scale this system for future SaaS sources?
- Our Stripe test data was empty and we had to build queries just by looking at the schema. Dummy data generation should be a step in our dbt process!
---
### Thank you! :sheep: