Instructions
1) Install Docker, we recommend Docker Desktop v4.1.1
2) Get our Docker-Compose YAML file
3) Move this YAML file to a folder of your choice.
4) Launch a new terminal and navigate to that folder.
5) Run docker compose up in the terminal.
6) When the terminal instance no-longer updates with new information, the application is ready to be used. Do not kill the terminal instance.
7) Launch the application by going to http://localhost:3000/
8) When done, issue the CTRL-C command in the same terminal you opened in step 4
9) Repeat steps 4-8 for future use.
About BigDocker
Bigdocker's objective is to create a docker image that has the ability to allow students and those who are trying to learn how to use all the basic big data architecture functions, with ease and without any hassle in installing separate programs.
Features
Below are some of the features we have implemented in BigDocker.
Downloadable with One Click
Our Application is lightweight as it is a all in one solution.
Step by step guide for students
A step by step guide will be at the sidebar to guide students through each step to ensure that they fully grasp big data concepts
Fast and easy to install
The students only need to download our application to use the full features on big data
Settings customised to the User's preference
The user would be able to change settings within the applications for a better viewing experience
Full statistical graphs available
The user would have full data visualization charts which can be all viewed in a single page
All user hosted
The user will host the docker server itself within their computer and it will utilise the computer's processing power to run it.
Marketing Video
Team
A list of the team members and the roles handled during the project.
Zheng QingPing
Leader, Programmer
Chan Wei Jie
Front & back-end developer
Chung Joe Chong, Herman
Tester, Document Writer
Lai Wei Shen
Tester, Document Writer