Abixen Platform

Abstract

1. Introduction

One of the biggest advantage is the architecture based on microservices concept. With loosely coupled components, it opens up a possibility of a efficient division of work between development teams and for a simple and inexpensive system maintenance. Creating a new module, a new functionality, a developer must not interfere with the existing source code. He can create a new microservice, being a separate spring boot application. Then, implementing necessary interfaces achieves opportunity to integrate the newly created microservice with Abixen Platform structure. Finally, a business administrator may use it over the platform. Abixen Platform supplies out of the box a few functional modules closed in the Business Intelligence Service and in the Web Content Service. This is a good example, how to create the own microservice. Mentioned services provide mainly visualisation functionalities, such as charts, micro charts, KPIs. As well as a web content management, such as templates, structures, articles. However opportunities to develop data entry modules are still opened!

Abixen Platform is a microservices based software platform for building enterprise applications. The main goal of the project is a creation of functionalities through creating particular microservices and integrating by provided CMS.

All you have to do in order to create an entirely new functionality is to implement a new, separated microservice. Now you can register it in Abixen Platform and start using by delivered configuration wizards and CMS. There is also an Abixen Platform API, which allows you to accelerate the process of new microservices creation.

2. Objective

Abixen Platform is a microservices based software platform for building enterprise applications delivering functionalities through creating particular microservices and integrating by provided CMS.

This project demonstrates how Java, AWS, Spring Boot can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• JDK 11 or later
• Maven / Gradle
• IntelliJ IDEA, Eclipse or Android Studio
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/abixen/abixen-platform.git
cd abixen-platform

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by abixen and published on GitHub under the GNU Lesser General Public License v2.1. Please follow the license terms and credit the original author when you use or modify this code.