Developing a Reporting Web Application for Factory Production Efficiency Analysis
Kurilov, Arsenii (2019)
2019
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201905057643
https://urn.fi/URN:NBN:fi:amk-201905057643
Tiivistelmä
The goal of the thesis is to investigate software development methods and techniques used in the implementation of a web-based reporting application. The paper discusses in detail topics such as data source and data store management, data aggregation and data visualization in the context of the development of a real reporting software product for a company. The paper mainly focuses on the explanation of data aggregation techniques and usage of custom data search API.
The thesis gives a general overview of common architecture and technologies used in business intelligence applications and briefly introduces several existing business intelligence solutions. It also discusses technologies that can be used for implementing such solutions.
Most of the thesis is dedicated to the explanation of the development process of a web-based reporting application with .NET back-end and React client. These and other technologies used in the implementation of the project are briefly presented in the paper and the motivation behind the choice of the technology stack is explained. The paper provides implementation details of the data source layer of the reporting application and detailed examples of the application’s data aggregation and visualization logic capabilities.
The thesis gives a general overview of common architecture and technologies used in business intelligence applications and briefly introduces several existing business intelligence solutions. It also discusses technologies that can be used for implementing such solutions.
Most of the thesis is dedicated to the explanation of the development process of a web-based reporting application with .NET back-end and React client. These and other technologies used in the implementation of the project are briefly presented in the paper and the motivation behind the choice of the technology stack is explained. The paper provides implementation details of the data source layer of the reporting application and detailed examples of the application’s data aggregation and visualization logic capabilities.