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Update readme to reflect moved sample files #58

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Update readme to reflect moved sample files #58

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84ac0cc
Update readme to reflect new bucket location
joellabes Aug 8, 2024
1474e7b
Remove excessive whitespace and add backticks to schema
joellabes Aug 8, 2024
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14 changes: 8 additions & 6 deletions README.md
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Expand Up @@ -199,12 +199,14 @@ There are two ways to work with a larger dataset than the default one year of da

To load the data from S3, consult the [dbt Documentation's Quickstart Guides](https://docs.getdbt.com/guides) for your data platform to see how to copy data from an S3 bucket to your warehouse. The S3 bucket URIs of the tables you want to copy into your `raw` schema are:

- `raw_customers`: `s3://jaffle-shop-raw/raw_customers.csv`
- `raw_orders`: `s3://jaffle-shop-raw/raw_orders.csv`
- `raw_order_items`: `s3://jaffle-shop-raw/raw_order_items.csv`
- `raw_products`: `s3://jaffle-shop-raw/raw_products.csv`
- `raw_supplies`: `s3://jaffle-shop-raw/raw_supplies.csv`
- `raw_stores`: `s3://jaffle-shop-raw/raw_stores.csv`
| table name | S3 URI | Direct Download Link | Schema |
|-------------------|------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------|
| `raw_customers` | `s3://dbt-tutorial-public/long_term_dataset/raw_customers.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_customers.csv) | `(id text, name text)` |
| `raw_orders` | `s3://dbt-tutorial-public/long_term_dataset/raw_orders.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_orders.csv) | `(id text, customer text, ordered_at datetime, store_id text, subtotal int, tax_paid int, order_total int)` |
| `raw_order_items` | `s3://dbt-tutorial-public/long_term_dataset/raw_order_items.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_order_items.csv) | `(id text, order_id text, sku text)` |
| `raw_products` | `s3://dbt-tutorial-public/long_term_dataset/raw_products.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_products.csv) | `(sku text, name text, type text, price int, description text)` |
| `raw_supplies` | `s3://dbt-tutorial-public/long_term_dataset/raw_supplies.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_supplies.csv) | `(id text, name text, cost int, perishable boolean, sku text)` |
| `raw_stores` | `s3://dbt-tutorial-public/long_term_dataset/raw_stores.csv` | [Download](https://dbt-tutorial-public.s3.us-west-2.amazonaws.com/long_term_dataset/raw_stores.csv) | `(id text, name text, opened_at datetime, tax_rate float)` |

#### 🌱 Generate via `jafgen` and seed the data with dbt Core

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