Near Real Time Search in Large Amount of Data
Robin Rönnberg · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2013
This paper consists of a project assigned by Tieto in Umea where the project goal is to ease the process of matching similar trouble reports together. This is done by creating a support system to the errand system that Tieto uses for handling trouble reports. The support system helps developer to find similar errand by being able to free text search in errands of interest. The paper also includes a comparison of relational database and NoSQL databases regarding free-text search abilities. The comparison act as a foundation for the creation of the support system.