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VISUELL PRESENTATION AV VÄDERDATA OCH ELPRISERE TT ARBETE OM DATABASMODELLERING I MOLNET MED BUSINESS INTELLIGENCE
Örebro University, School of Science and Technology.
Örebro University, School of Science and Technology.
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In an environment where data flows everywhere and in all forms, it can be difficult to extract something valuable of it. Business Intelligence, also known as BI, is a technology used to transform information into a valuable resource for primarily companies with a lot of information. But what opportunities does BI offer? In this essay, we use standardized techniques, popular tools and cloud services to perform a pure BI project. We will generate a report in which we will analyze whether there is any correlation between electricity prices and different types of weather data. After the practical part of the work, we will use our experience of the cloud to dig deeper into how safe the cloud reallys is. We will compare the concerns that an ordinary user has to the cloud and compare with how the cloud service provider (CSP) Azure adapts to this.

Abstract [sv]

ett samhälle där information flödar i alla dess former så kan det vara svårt att utvinna någontingvärdefullt av detta. Business intelligence, även kallat BI, är en teknik som används för att kunnaomvandla informationen till en värdefull resurs för främst företag. Men vad kan man egentligengöra med BI? I denna uppsats används standardiserade tekniker, nya verktyg och molntjänster föratt utföra ett helt BI-projekt. Projektet innefattar en visuell rapport där det ska göras en grundliganalys om det finns någon korrelation mellan elpriser och olika typer av väderdata.Efter det praktiska arbetet så kommer en teoretiskt fördjupning inom molntjärnes säkerhet attutföras. Den teoretiska fördjupningen kommer att omfatta en jämförelse mellan de mestförekommande orosmoment som användare har inför molnet och hur Azure faktiskt ställer sig tilldessa.

Place, publisher, year, edition, pages
2019. , p. 36
Keywords [en]
Business Intelligence, visual analytics, cloud computing, cloud security
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-79491OAI: oai:DiVA.org:oru-79491DiVA, id: diva2:1389329
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2020-01-29 Created: 2020-01-29 Last updated: 2020-01-30Bibliographically approved

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Citation style
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