Skip to content

Latest commit

 

History

History
49 lines (39 loc) · 1.27 KB

README.md

File metadata and controls

49 lines (39 loc) · 1.27 KB

dbt cloud project for sales dataset

I made data transformations in Google BigQuery warehouse to apply the newly introduced ELT process:

1. Produced some staging, fact and dimension tables. And here is the final lineage graph.

lineage graph

2. This is an example of applied queries.

with customers as (
    select * from {{ ref('stg_customers')}}
),

orders as (
    select * from {{ ref('fct_orders') }}
),

customer_orders as(
    select
        customer_id,
        min(order_date) as first_order_date,
        max(order_date) as most_recent_order_date,
        count(order_id) as orders_count,
        sum(price) as total_spent,
    from
        {{ ref('fct_orders') }}
    group by 1
),

final as (
    select
        a.customer_id,
        a.first_name,
        a.last_name,
        b.first_order_date,
        b.most_recent_order_date,
        coalesce(b.orders_count, 0) as orders_count,
        coalesce(b.total_spent, 0) as total_spent
    from customers a
    
    -- left join to include customers who didn't buy anything
    left join 
        customer_orders b using(customer_id)
)

select * from final