Big Datan louhinta ohjelmistokehityksessä

Nykypäivänä maailmassa kertyy dataa valtavia määriä. Big Data on tällä hetkellä ehkäpä yksi kunnianhimoisimmista datateknologioista. Tätä datamäärää voidaan tutkia ja valjastaa tieteellisiin ja kaupallisiin tavoitteisiin. Valtava data ei itsessään ole Big Dataa, mutta Big Data on valtavaa. Tavoittee...

Full description

Bibliographic Details
Main Author: Rantanen, Nuutti
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:fin
Published: 2019
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/64646
_version_ 1826225804376276992
author Rantanen, Nuutti
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Rantanen, Nuutti Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Rantanen, Nuutti Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Rantanen, Nuutti
datasource_str_mv jyx
description Nykypäivänä maailmassa kertyy dataa valtavia määriä. Big Data on tällä hetkellä ehkäpä yksi kunnianhimoisimmista datateknologioista. Tätä datamäärää voidaan tutkia ja valjastaa tieteellisiin ja kaupallisiin tavoitteisiin. Valtava data ei itsessään ole Big Dataa, mutta Big Data on valtavaa. Tavoitteena on kartoittaa Big Datan säilöntään, tietoturvaan, louhintaan ja saavuttamiseen liittyviin ongelmiin. Big Data on nykyaikaa ja on tullut jäädäkseen meidän iloksemme. Tutkimuksessa on käytetty päälähteenä aiheeseen liittyvää kirjallisuutta ja tulokset painottuvat kirjallisuudessa esiintyneisiin malleihin. Big Data is something that comes up once in a while. Like most data related topics Big Data is the most ambitious technology. We can use Big Data to help us record and process economic or scientific projects better than like ten years ago. Big Data is huge, big but not all huge amount of data is Big Data. Goals are to map uses for Storage for Big Data, Big Data security, Big Data mining and reaching Big Data. Big Data is modern thing and it's here to stay. Main sources are other literatur and results are based on that literatur.
first_indexed 2024-09-11T08:51:24Z
format Kandityö
free_online_boolean 1
fullrecord [{"key": "dc.contributor.advisor", "value": "Kaijanaho, Antti-Juhani", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Rantanen, Nuutti", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2019-06-14T12:16:16Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2019-06-14T12:16:16Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2019", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/64646", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Nykyp\u00e4iv\u00e4n\u00e4 maailmassa kertyy dataa valtavia m\u00e4\u00e4ri\u00e4. Big Data on t\u00e4ll\u00e4 hetkell\u00e4 ehk\u00e4p\u00e4 yksi kunnianhimoisimmista datateknologioista. T\u00e4t\u00e4 datam\u00e4\u00e4r\u00e4\u00e4 voidaan tutkia ja valjastaa tieteellisiin ja kaupallisiin tavoitteisiin. Valtava data ei itsess\u00e4\u00e4n ole Big Dataa, mutta Big Data on valtavaa. Tavoitteena on kartoittaa Big Datan s\u00e4il\u00f6nt\u00e4\u00e4n, tietoturvaan, louhintaan ja saavuttamiseen liittyviin ongelmiin. Big Data on nykyaikaa ja on tullut j\u00e4\u00e4d\u00e4kseen meid\u00e4n iloksemme. Tutkimuksessa on k\u00e4ytetty p\u00e4\u00e4l\u00e4hteen\u00e4 aiheeseen liittyv\u00e4\u00e4 kirjallisuutta ja tulokset painottuvat kirjallisuudessa esiintyneisiin malleihin.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Big Data is something that comes up once in a while. Like most data related topics Big Data is the most ambitious technology. We can use Big Data to help us record and process economic or scientific projects better than like ten years ago. Big Data is huge, big but not all huge amount of data is Big Data. Goals are to map uses for Storage for Big Data, Big Data security, Big Data mining and reaching Big Data. Big Data is modern thing and it's here to stay. Main sources are other literatur and results are based on that literatur.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2019-06-14T12:16:16Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2019-06-14T12:16:16Z (GMT). No. of bitstreams: 0\n Previous issue date: 2019", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "20", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "Big Datan kehitys", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Big Datan turvallisuus", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Big Datan s\u00e4il\u00f6nt\u00e4", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Big Datan louhinta ohjelmistokehityksess\u00e4", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201906143237", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "louhinta", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
id jyx.123456789_64646
language fin
last_indexed 2025-02-18T10:56:38Z
main_date 2019-01-01T00:00:00Z
main_date_str 2019
online_boolean 1
online_urls_str_mv {"url":"https:\/\/jyx.jyu.fi\/bitstreams\/49e180ea-e796-4ab2-9024-0f8134973f44\/download","text":"URN:NBN:fi:jyu-201906143237.pdf","source":"jyx","mediaType":"application\/pdf"}
publishDate 2019
record_format qdc
source_str_mv jyx
spellingShingle Rantanen, Nuutti Big Datan louhinta ohjelmistokehityksessä Big Datan kehitys Big Datan turvallisuus Big Datan säilöntä Tietotekniikka Mathematical Information Technology 602 big data louhinta
title Big Datan louhinta ohjelmistokehityksessä
title_full Big Datan louhinta ohjelmistokehityksessä
title_fullStr Big Datan louhinta ohjelmistokehityksessä Big Datan louhinta ohjelmistokehityksessä
title_full_unstemmed Big Datan louhinta ohjelmistokehityksessä Big Datan louhinta ohjelmistokehityksessä
title_short Big Datan louhinta ohjelmistokehityksessä
title_sort big datan louhinta ohjelmistokehityksessä
title_txtP Big Datan louhinta ohjelmistokehityksessä
topic Big Datan kehitys Big Datan turvallisuus Big Datan säilöntä Tietotekniikka Mathematical Information Technology 602 big data louhinta
topic_facet 602 Big Datan kehitys Big Datan säilöntä Big Datan turvallisuus Mathematical Information Technology Tietotekniikka big data louhinta
url https://jyx.jyu.fi/handle/123456789/64646 http://www.urn.fi/URN:NBN:fi:jyu-201906143237
work_keys_str_mv AT rantanennuutti bigdatanlouhintaohjelmistokehityksessä