Tools: "Building a Data Pipeline: Apache Airflow and PostgreSQL Integration on WSL"

Tools: "Building a Data Pipeline: Apache Airflow and PostgreSQL Integration on WSL"

Install WSL and UbuntuOpen PowerShell as Administrator: Press Win + X and select Windows PowerShell (Admin). Run the following command: powershellwsl --install This command installs WSL, the latest Ubuntu distribution, and sets WSL 2 as your default version. After installation, restart your computer. Open Ubuntu from the Start menu and complete the initial setup by creating a user and password. 🐘 Step 2: Install PostgreSQL on Ubuntu (WSL)Update Package Lists: sudo apt updateInstall PostgreSQL: sudo apt install postgresql postgresql-contribStart PostgreSQL Service: sudo service postgresql start Access PostgreSQL:sudo -u postgres psql Create Airflow Database and User: CREATE DATABASE airflow;CREATE USER airflow WITH PASSWORD 'airflow';GRANT ALL PRIVILEGES ON DATABASE airflow TO airflow;Exit PostgreSQL:\q🐍 Step 3: Set Up Python Virtual EnvironmentInstall Python 3 and venv: sudo apt install python3 python3-venv python3-pipCreate Virtual Environment: python3 -m venv airflow_envActivate Virtual Environment:source airflow_env/bin/activate pip install --upgrade pip📦 Step 4: Install Apache AirflowInstall Apache Airflow with PostgreSQL Support: pip install apache-airflow[postgres] Set Airflow Home Directory: export AIRFLOW_HOME=~/airflowInitialize Airflow Database:airflow db initCreate Airflow Admin User:airflow users create \ --username admin \ --password admin \ --firstname Admin \ --lastname User \ --role Admin \ --email [email protected] Start Airflow Web Server: airflow webserver --port 8080 Start Airflow Scheduler: airflow scheduler🔗 Step 5: Connect to PostgreSQL Using DBeaverOpen DBeaver and click on the New Connection button. Select PostgreSQL from the list of database types. Configure Connection Settings: Test Connection to ensure it's successful. Finish to save the connection. 🌐 Step 6: Access Airflow Web InterfaceOpen your web browser and navigate to: http://localhost:8080 Log in using the credentials: Templates let you quickly answer FAQs or store snippets for re-use. as well , this person and/or