{"id":20186677,"url":"https://github.com/to-infinitee/data-infra-architecture","last_synced_at":"2026-05-04T21:37:44.174Z","repository":{"id":254195919,"uuid":"845791360","full_name":"to-infinitee/data-infra-architecture","owner":"to-infinitee","description":"The Infra Diagram for managing data pipelines where data is ingested, stored, transformed, and then visualized for analysis. 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The infrastructure is built using a modern data stack that leverages cloud services and open-source tools for scalability, security, and efficiency.\n## Components Breakdown\n\n### 1. **Data Generation**\n- **EC2 Instance (Python Script)**\n  - **Description:** An Amazon EC2 instance running a Python script generates synthetic data every 2 hours.\n  - **Purpose:** Simulates real-time data generation for testing and development purposes.\n  - **Location:** Public subnet within a Virtual Private Cloud (VPC).\n\n### 2. **Data Storage**\n- **Amazon RDS Postgres**\n  - **Description:** A Postgres database hosted on Amazon RDS stores the data generated by the EC2 instance.\n  - **Purpose:** Acts as the primary storage for generated data.\n  - **Location:** Private subnet within the VPC for enhanced security.\n\n### 3. **Data Ingestion**\n- **Airbyte**\n  - **Description:** Airbyte is responsible for ingesting new data from the RDS Postgres database on a daily basis.\n  - **Purpose:** Extracts data from the operational database and loads it into the data warehouse.\n\n### 4. **Data Warehouse**\n- **Snowflake**\n  - **Description:** Snowflake is a cloud-based data warehouse where ingested data is stored.\n  - **Purpose:** Provides scalable and efficient storage for large datasets, allowing for fast query performance.\n\n### 5. **Data Transformation**\n- **dbt (Data Build Tool)**\n  - **Description:** dbt transforms raw data within Snowflake into a usable format.\n  - **Purpose:** Prepares data for analysis by cleaning, aggregating, and organizing it.\n- **Apache Airflow**\n  - **Description:** Airflow schedules and orchestrates dbt jobs to ensure data is refreshed daily.\n  - **Purpose:** Automates the transformation process to maintain up-to-date data in the warehouse.\n\n### 6. **Data Visualization**\n- **Looker**\n  - **Description:** Looker connects to Snowflake to provide interactive data visualizations and dashboards.\n  - **Purpose:** Enables stakeholders to explore and analyze data through an intuitive interface.\n\n### 7. **CI/CD, Version Control, and Infrastructure as Code**\n- **GitHub \u0026 GitHub Actions**\n  - **Description:** GitHub is used for version control, and GitHub Actions automates CI/CD processes.\n  - **Purpose:** Manages code and infrastructure changes, ensuring consistency and reliability.\n- **Docker**\n  - **Description:** Docker is used for containerizing applications, ensuring consistent environments.\n  - **Purpose:** Facilitates deployment across different environments.\n- **Terraform**\n  - **Description:** Terraform is used for Infrastructure as Code (IaC) to provision cloud resources.\n  - **Purpose:** Automates the setup and management of infrastructure in a repeatable manner.\n\n## Deployment\n\n### Prerequisites\n- AWS account with necessary permissions for EC2, RDS, and VPC.\n- GitHub account with repositories for version control.\n- Docker installed on your local machine.\n- Terraform installed on your local machine.\n- Access to a Snowflake account.\n- Airbyte instance set up for data ingestion.\n- Looker account for data visualization.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fto-infinitee%2Fdata-infra-architecture","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fto-infinitee%2Fdata-infra-architecture","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fto-infinitee%2Fdata-infra-architecture/lists"}