Performance module for BI4Dynamics platform : bachelor's thesis

Ostrc, Nino (avtor), Šajn, Luka (mentor)

BI4Dynamics is an analytical Business Intelligence (BI) solution for Microsoft Dynamics ERPs. The solution deploys a data warehouse on a Microsoft SQL server and creates an analytical database on a Microsoft Analysis server; accordingly, due to SQL’s flexibility, it offers an excellent platform for developing custom BI modules; OLAP cubes and dimensions. This paper describes how the BI4Profiler, which is a performace module for BI4Dynamics platform, was developed. In this process my task was to design the core architecture of the module and oversee project development. The BI4Profiler module grew out of our partners’ and our own need for a tool when benchmarking and optimizing custom developed SQL scripts. We wanted to use the existing framework so this tool was packed as a module, thus it can be analyzed using any BI compatible front end tool. To ensure independency of statistic data, the BI4Profiler deploys its own separate data warehouse with staging and presentation area, as well as an OLAP cube with a set of dimensions. Although module, it has an additional core functionality that we had to integrate into the existing framework. During the execution of the scripts, this separate thread pools the SQL Server using DMVs (Dynamics Management Views) for statistics, which first saves said statistics to the data warehouse, thence builds and processes the analytical database.

• Jezik: Angleški jezik
• Ključne besede: BI, BI4Dynamics, OLAP, data warehouse, benchmarking, DMV, DMV, computer science, diploma
• Vrsta gradiva: Diplomsko delo
• Tipologija: 2.11 - Diplomsko delo
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Založnik: [N. Ostrc]
• Leto izida: 2015
• Št. strani: 58 str.
• PID: 20.500.12556/RUL-30509
• COBISS.SI-ID: 1536203971
• Datum objave v RUL: 19.01.2015

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Performančni modul za BI4Dynamics platformo

Izvleček

Ker smo hoteli zagotoviti neodvisnost in obstojnost teh statističnih podatkov tudi v primeru, ko uporabnik na novo namesti podatkovno skladišče, smo za modul uvedli novo ločeno podatkovno skladišče in analitično bazo, ki pa se namestita samo ob prvi namestitvi originalnega podatkovnega skladišča in se nato ne spreminjata. Podatki v njih pa se obdelajo po tem, ko se obdelajo vsi podatki v originalnem podatkovnem skladišču in analitični bazi.

• Ključne besede: BI, podatkovno skladišče, zmogljivostna analiza, DMV, OLAP, BI4Dynamics, računalništvo, univerzitetni študij, diplomske naloge