Refactor dim_orgs and incorporate changes into sales_sync

[leoebfolsom]

1. Update logic of dim_orgs.created_at
   • The dim_orgs model is built around the first user sign_up event, but I noticed we have an org_created event that might make more sense to use.
   • Seems very likely that there could be a big time difference between an org creation and the first user signing in, or an org never having a user sign in.
   • So, we're swapping sign_up events for org_created events in model dim_orgs
2. Set dim_orgs.sub_price to 0 when the value would be null.
3. Recategorize dim_orgs.sub_plan to Individual when num_users is 1
4. Include Individual opportunities in the Sales Sync.
5. Trivial change to num_users.

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Base branch	Pull Request branch
master-bigquery (417ccea)	update-dim_orgs (724e639)

Data Diffs of tables modified in this pull request: 3

• Different: 2
• Identical: 1

datafold-demo-429713.prod.dim__orgs

Primary keys org_id

DIFFERENCES

3 column(s) with differing values column number of rows sub_plan 149  58.9% sub_price 70  27.7% num_users 47  18.6%

View details →

Unchanged Attributes Total rows 253 Total columns 6 Schema changes 0 Common unique PKs 253 Added/removed rows 0 Rows with NULL PKs 0 Rows with duplicate PKs 0

datafold-demo-429713.prod.sales__sync
Primary keys org_id
	master-bigquery	update-dim_orgs
DIFFERENCES
Total rows	29	↑ 60 +106.9%
Exclusive PKs	0	31
View details →
Unchanged Attributes Total columns 2 Schema changes 0 Common unique PKs 29 Rows with NULL PKs 0 Rows with duplicate PKs 0 Columns with different values 0

datafold-demo-429713.prod.dim__users

Primary keys user_id

View details →

Unchanged Attributes Total rows 618 Total columns 1 Schema changes 0 Common unique PKs 618 Added/removed rows 0 Rows with NULL PKs 0 Rows with duplicate PKs 0 Columns with different values 0

Skipped Data Diffs of downstream tables: 2

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datafold-demo-429713.prod.fct__yearly__financials (table)	Run Data Diff →
datafold-demo-429713.prod.fct__monthly__financials (table)	Run Data Diff →