DBT Analytics Project
using SQL, DBT & Snowflake warehouse
Used SQL query in both DBT & Snowflake platform.
Used Data Build Tool(DBT) to Transform the Data .
Snowflake Warehouse to store both raw & transformed data.
SQL query executed in Snowflake database 🚀
# To create a Warehouse:
create or replace warehouse transformation;
# To create Databases:
create database raw;
create database analytics;
# Create a schema:
create schema raw.hitman_shop;
# To Create 'PRODUCTS' Table inside 'raw' Database:
create or replace TABLE RAW.HITMAN_SHOP.PRODUCTS (
PRODUCT_NAME STRING,
PRODUCT_ID INTEGER,
PRICE STRING,
EXPIRATION_DATE DATE,
CATEGORY STRING
);
# To Create 'CUSTOMERS' Table inside 'raw' Database:
create or replace TABLE RAW.HITMAN_SHOP.CUSTOMERS (
CUSTOMER_ID INTEGER,
FIRST_NAME STRING,
LAST_NAME STRING,
EMAIL STRING,
BIRTHDATE DATE,
ADDRESS STRING,
CC FLOAT,
CC_TYPE STRING
);
# To Create 'ORDERS' Table inside 'raw' Database:
create or replace TABLE RAW.HITMAN_SHOP.ORDERS (
ORDER_ID INTEGER,
CUSTOMER_ID INTEGER,
PRODUCT_ID INTEGER,
QUANTITY INTEGER,
ORDER_DATE DATE,
TOTAL_PRICE FLOAT,
SHIPPING_ADDRESS STRING
);
# Query to retrieve records/rows from tables:
select * FROM raw.hitman_shop.products limit 50;
select * FROM raw.hitman_shop.customers limit 50;
select * FROM raw.hitman_shop.orders limit 50;
# Optional: Query to DROP Unnecessry tables:
DROP TABLE ANALYTICS.AGENT_SHOP.MY_FIRST_DBT_MODEL;
DROP TABLE ANALYTICS.AGENT_SHOP.MY_SECOND_DBT_MODEL;