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Build a data pipeline in Airflow and the Astro SDK that interacts with AWS and Snowflake.

You can find the text version of that video and orignal DAG here:
[ Ссылка ]

Materials:
➡️ orders_data_header.csv
order_id,customer_id,purchase_date,amount
ORDER1,CUST1,1/1/2021,100
ORDER2,CUST2,2/2/2022,200
ORDER3,CUST3,3/3/2023,300

➡️ Env vars

AIRFLOW__CORE__ENABLE_XCOM_PICKLING=True
AIRFLOW__ASTRO_SDK__SQL_SCHEMA=ASTRO_SDK_SCHEMA

➡️ SQL requests

CREATE DATABASE ASTRO_SDK_DB;
CREATE WAREHOUSE ASTRO_SDK_DW;
CREATE SCHEMA ASTRO_SDK_SCHEMA;

CREATE OR REPLACE TABLE customers_table (customer_id CHAR(10), customer_name VARCHAR(100), type VARCHAR(10) );

INSERT INTO customers_table (CUSTOMER_ID, CUSTOMER_NAME,TYPE) VALUES ('CUST1','NAME1','TYPE1'),('CUST2','NAME2','TYPE1'),('CUST3','NAME3','TYPE2');

CREATE OR REPLACE TABLE reporting_table (
CUSTOMER_ID CHAR(30), CUSTOMER_NAME VARCHAR(100), ORDER_ID CHAR(10), PURCHASE_DATE DATE, AMOUNT FLOAT, TYPE CHAR(10));

INSERT INTO reporting_table (CUSTOMER_ID, CUSTOMER_NAME, ORDER_ID, PURCHASE_DATE, AMOUNT, TYPE) VALUES
('INCORRECT_CUSTOMER_ID','INCORRECT_CUSTOMER_NAME','ORDER2','2/2/2022',200,'TYPE1'),
('CUST3','NAME3','ORDER3','3/3/2023',300,'TYPE2'),
('CUST4','NAME4','ORDER4','4/4/2022',400,'TYPE2');

Enjoy 🔥

Ready?

Let's go!l

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