End-to-End-Data-Pipeline

(β˜… 137)

πŸ“ˆ A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.

  • .dockerignore
  • .editorconfig
  • .env.example
  • .gitignore
  • .prettierignore
  • .prettierrc
  • api.sh
  • ARCHITECTURE.md
  • CITATION.cff
  • data_pipeline_setup.sh
  • DEPLOYMENT_STRATEGIES.md
  • docker-compose.ci.yaml
  • docker-compose.lite.yaml
  • docker-compose.yaml
  • End_to_End_Data_Pipeline.ipynb
  • index.html
  • LICENSE
  • Makefile
  • pyproject.toml
  • QUICK_START.md
  • README.md
  • requirements.txt
  • serve_wiki.py

# Installation Guide

1. Get the code
git clone https://github.com/hoangsonww/End-to-End-Data-Pipeline

Downloads the entire project code from GitHub to your computer.

cd End-to-End-Data-Pipeline

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
DC[Docker Compose<br/>make deploy-local]

Runs the command against the services defined in the compose file.

DL[Docker Compose Lite<br/>make deploy-lite]

Runs the command against the services defined in the compose file.

β”œβ”€β”€ docker-compose.yaml # 20 services

Runs the command against the services defined in the compose file.

β”œβ”€β”€ docker-compose.ci.yaml # CI-specific compose

Runs the command against the services defined in the compose file.

βœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

Pulled directly from this repo's README.

3. .NET

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • .NET SDK The SDK required for the dotnet command.
β”‚ └── templates/ # 8 templates (airflow, spark, dotnet-api, kafka-producer, configmap, secrets, namespace)

Type this command into your terminal and run it.

βœ… After dotnet run, check the message or address shown in the terminal.

Pulled directly from this repo's README.

4. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r airflow/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

jupyter notebook

Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.

βœ… If it runs without errors and prints output in the terminal, it worked.

5. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
make build

Compiles the code based on the generated build configuration to produce an executable.

make up

Compiles the code based on the generated build configuration to produce an executable.

make health

Compiles the code based on the generated build configuration to produce an executable.

make urls

Compiles the code based on the generated build configuration to produce an executable.

make trigger-batch

Compiles the code based on the generated build configuration to produce an executable.

βœ… If it finishes without errors, it worked. Try running the generated executable directly.

Pulled directly from this repo's README.

// repository documentation