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Vanligaste orsakerna bakom dataförluster
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2020 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
The most common causes of data loss (English)
Abstract [sv]

Hårddiskar idag användas fortfarande i majoriteten av dagens datorer och det bästa lösning för datalagring. För de flesta av oss en hårddisk är ”svart låda” som på något sätt lagrar information och kommer att fungera utan problem och aldrig kommer att uppleva en dataförlust. Men allt som har en början har också ett slut och det gäller också en hårddisk, vilket är en av de viktigaste delar i en dator eftersom på hårddiskar lagrar vi värdefull information. Problem med hårddiskar kan orsaka allvarliga dataförluster, prestandaförstöring och det är ofta kostsamt. Syftet med detta arbete att identifiera orsakerna bakom dataförluster.  Undersökning visat att de vanligaste orsaker till dataförlust är mekaniska problem med hårddisken som följd av mänskliga misstag.

Abstract [en]

Hard drives today are still used in the majority of today's computers and remain a good solution for data storage. For most of us, a hard drive is a "black box" that somehow stores information and will work without problems and will never lead to data loss. Everything that has a beginning also has an end and that also applies to a hard drive, one of the most important parts of a computer, since we store valuable information on such drives. Therefore, problems with hard drives can cause serious data loss, performance degradation that is often costly.  The purpose of this work to identify the causes of data loss. Research has shown that the most common causes of data loss are mechanical problems with the hard drive as a result of human error. The conclusion to avoid data loss is to handle hard drives carefully and perhaps the most important is to have a good backup for their data.

Place, publisher, year, edition, pages
2020. , p. 35
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ltu:diva-78548OAI: oai:DiVA.org:ltu-78548DiVA, id: diva2:1424104
Subject / course
Student thesis, at least 15 credits
Educational program
Systems Sciences, bachelor's level
Presentation
2018-06-03, LTU, Luleå, 14:01 (Swedish)
Supervisors
Examiners
Available from: 2020-04-24 Created: 2020-04-16 Last updated: 2024-03-27Bibliographically approved

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