This bachelor thesis looks at the functionality of different frameworks for data analysis atlarge scale and the purpose of it is to serve as a guide among available tools. The amount ofdata that is generated every day keep growing and for companies to take advantage of thedata they collect they need to know how to analyze it to gain maximal use out of it. Thechoice of platform for this analysis plays an important role and you need to look in to thefunctionality of the different alternatives that are available. We have created a guide to makethis research easier and less time consuming. To evaluate our work we created a summaryand a survey which we asked a number of ITstudents,current and previous, to take part in.After analyzing their answers we could see that most of them find our thesis interesting andinformative.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-1057 |
| Date | January 2015 |
| Creators | Ohlsson, Anna, Öman, Dan |
| Publisher | Blekinge Tekniska Högskola, Institutionen för programvaruteknik, Blekinge Tekniska Högskola, Institutionen för programvaruteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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