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Volumn 12, Issue 2, 2016, Pages 260-288

Big data projects: just jump right in!

Author keywords

Advanced analytics; Big data; Big data project; Big data technologies; Business intelligence; Methodologies and tools

Indexed keywords


EID: 84977536129     PISSN: 17427371     EISSN: 1742738X     Source Type: Journal    
DOI: 10.1108/IJPCC-04-2016-0023     Document Type: Article
Times cited : (21)

References (103)
  • 1
    • 84977515851 scopus 로고    scopus 로고
    • accessed, 29 April 2014
    • Acquia (2014), “Examples of big data projects”, available at: www.acquia.com/fr/examples-big-data-projects (accessed 29 April 2014).
    • (2014) Examples of big data projects
  • 2
    • 84977471655 scopus 로고    scopus 로고
    • accessed, 13 March 2014)
    • Analytics.northwestern.edu (2016), “North Western engineering”, available at: www.analytics.northwestern.edu/program-overview/analytics-exampleshtml (accessed 13 March 2014).
    • (2016) North Western engineering
  • 3
    • 84977473862 scopus 로고    scopus 로고
    • (accessed, 29 April 2014
    • MYCHEFCOM (2014), available at: www.mychefcom.com/ (accessed 29 April 2014).
    • (2014)
  • 4
    • 84907375665 scopus 로고    scopus 로고
    • accessed, 20 March 2014
    • Apache Hadoop (2014), “Welcome to apache Hadoop!”, available at: http://hadoop.apache.org/ (accessed 20 March 2014).
    • (2014) Welcome to apache Hadoop!
  • 5
    • 84977587296 scopus 로고    scopus 로고
    • accessed, 16 May 2014
    • ATTUNITY (2013), “Cloud adoption rates reaching 75 per cent in 2013”, available at: www.attunity.com/learning/articles/cloud-adoption-rates-reaching-75-percent-2013 (accessed 16 May 2014).
    • (2013) Cloud adoption rates reaching 75 per cent in 2013
  • 6
    • 84977473651 scopus 로고    scopus 로고
    • accessed, 28 April 2014
    • AWS (2014), “Amazon web services (Français)”, available at: http://aws.amazon.com/fr/ (accessed 28 April 2014).
    • (2014) Amazon web services (Français)
  • 7
    • 84977582156 scopus 로고    scopus 로고
    • accessed 12 March 2014
    • Bigdata-startups.com (2013), “Datafloq – the one-stop shop for Big data”, available at: www.bigdata-startups.com/understanding-business-descriptive-predictive-prescriptive-analytics (accessed 12 March 2014).
    • (2013) Datafloq – the one-stop shop for Big data
  • 9
    • 84977547021 scopus 로고    scopus 로고
    • accessed 16 March 2014
    • Blog.twitter.com (2014), “Introducing twitter data grants|twitter blogs”, available at: https://blog.twitter.com/2014/introducing-twitter-data-grants (accessed 16 March 2014).
    • (2014) Introducing twitter data grants|twitter blogs
  • 13
    • 84977568120 scopus 로고    scopus 로고
    • accessed, 10 March 2014
    • Byte-mining (2011), “Hadoop fatigue: alternatives to hadoop byte mining”, available at: www.bytemining.com/2011/08/hadoop-fatigue-alternatives-to-hadoop/ (accessed 10 March 2014).
    • (2011) Hadoop fatigue: alternatives to hadoop byte mining
  • 15
    • 84977491443 scopus 로고    scopus 로고
    • Expanded top ten big data security and privacy challenges, community.lithium.com
    • accessed, 12 March 2014
    • Cloud Security Alliance (2013), “Expanded top ten big data security and privacy challenges, community.lithium.com”, Big Data Reduction 1: Descriptive Analytics, available at: http://community.lithium.com/t5/Science-of-Social-blog/Big-Data-Reduction-1-Descriptive-Analytics/ba-p/77766 (accessed 12 March 2014).
    • (2013) Big Data Reduction 1: Descriptive Analytics
  • 16
    • 84906735661 scopus 로고    scopus 로고
    • accessed, 20 March 2014
    • CouchDB (2014), “Eventual consistency”, available at: http://guide.couchdb.org/draft/consistency.html (accessed 20 March 2014).
    • (2014) Eventual consistency
  • 17
    • 84977476546 scopus 로고    scopus 로고
    • (accessed, 18 March 2014
    • Datacatalogs (2014), available at: http://datacatalogs.org/ (accessed 18 March 2014).
    • (2014)
  • 18
    • 84977587429 scopus 로고    scopus 로고
    • accessed, 19 March 2014
    • Datacleaner.org (2013), “Reference documentation”, available at: http://datacleaner.org/resources/docs/3.5.10/html/ (accessed 19 March 2014).
    • (2013) Reference documentation
  • 19
    • 84977600783 scopus 로고    scopus 로고
    • accessed, 18 March 2014
    • DATA.GOV (2014), “Open data in the United States”, available at: www.data.gov/open-gov/ (accessed 18 March 2014).
    • (2014) Open data in the United States
  • 20
    • 84977532990 scopus 로고    scopus 로고
    • (accessed, 18 March 2014
    • Data.un.org (2014), available at: http://data.un.org/ (accessed 18 March 2014).
    • (2014)
  • 21
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: simplified data processing on large clusters
    • Dean, J. and Ghemawat, S. (2008), “Mapreduce: simplified data processing on large clusters”, Communications of the ACM, Vol. 51 No. 1, pp. 107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 23
    • 84977575437 scopus 로고    scopus 로고
    • accessed, 2 May 2014
    • Doug, H. (2013), “Big data success: 3 companies share secrets”, available at: www.informationweek.com/big-data/big-data-analytics/big-data-success-3-companies-share-secrets/d/d-id/1111815? (accessed 2 May 2014).
    • (2013) Big data success: 3 companies share secrets
    • Doug, H.1
  • 25
    • 84977554937 scopus 로고    scopus 로고
    • accessed, 6 April 2014
    • Esper (2014), “Complex event processing”, available at: http://esper.codehaus.org/ (accessed 6 April 2014).
    • (2014) Complex event processing
  • 28
    • 84977529321 scopus 로고    scopus 로고
    • accessed, 29 April 2014
    • Food Genius (2014), “Welcome to food genius”, available at: http://getfoodgenius.com/ (accessed 29 April 2014).
    • (2014) Welcome to food genius
  • 29
    • 84977566120 scopus 로고    scopus 로고
    • accessed, 29 April 2014
    • Foodpairing (2012), “Foodpairing – homepage”, available at: www.foodpairing.com/fr/home (accessed 29 April 2014).
    • (2012) Foodpairing – homepage
  • 30
    • 84977543074 scopus 로고    scopus 로고
    • accessed, 8 March 2014
    • Fortscale (2014), “Big data security analytics”, available at: www.fortscale.com/ (accessed 8 March 2014).
    • (2014) Big data security analytics
  • 33
    • 1542640153 scopus 로고    scopus 로고
    • Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services
    • Gilbert, S. and Lynch, N. (2002), “Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant web services”, ACM SIGACT News, Vol. 33 No. 2, p. 51, available at: http://portal.acm.org/citation.cfm?doid=,564585.564601
    • (2002) ACM SIGACT News , vol.33 , Issue.2 , pp. 51
    • Gilbert, S.1    Lynch, N.2
  • 34
    • 84977556080 scopus 로고    scopus 로고
    • (accessed, 16 March 2014
    • Gnip.com (2014), available at: http://gnip.com/ (accessed 16 March 2014).
    • (2014)
  • 39
    • 84922522983 scopus 로고    scopus 로고
    • accessed, 2 March 2014
    • IBM (2014), “IBM – infosphere data explorer”, available at: www-03.ibm.com/software/products/en/dataexplorer (accessed 2 March 2014).
    • (2014) IBM – infosphere data explorer
  • 40
    • 84922507704 scopus 로고    scopus 로고
    • IBM Software (2013), “The top five ways to get started with big data”, available at: http://files.netcommunities.com/ibm-swg/Sep/the_top_five_ways_imw14710usen[1].pdf
    • (2013) The top five ways to get started with big data
  • 48
    • 84977525029 scopus 로고    scopus 로고
    • accessed, 17 March 2014
    • Knime.org (2016), “KNIME | open for innovation”, available at: www.knime.org (accessed 17 March 2014).
    • (2016) KNIME | open for innovation
  • 55
    • 85047908261 scopus 로고    scopus 로고
    • accessed, 12 March 2014
    • MikeW (2013a), “Big data reduction 2: understanding predictive analytics”, available at: http://community.lithium.com/t5/Science-of-Social-blog/Big-Data-Reduction-2-Understanding-Predictive-Analytics/ba-p/79616 (accessed 12 March 2014).
    • (2013) Big data reduction 2: understanding predictive analytics
  • 56
    • 84977487564 scopus 로고    scopus 로고
    • accessed, 12 March 2014
    • MikeW (2013), “Big data reduction 3: from descriptive to prescriptive”, available at: http://community.lithium.com/t5/Science-of-Social-blog/Big-Data-Reduction-3-From-Descriptive-to-Prescriptive/ba-p/81556 (accessed 12 March 2014).
    • (2013) Big data reduction 3: from descriptive to prescriptive
  • 57
    • 85072713975 scopus 로고    scopus 로고
    • accessed, 21 February 2014
    • MongoDB (2014), “NoSQL databases explained”, available at: www.mongodb.com/nosql-explained (accessed 21 February 2014).
    • (2014) NoSQL databases explained
  • 58
    • 84971345546 scopus 로고    scopus 로고
    • The human face of mobile
    • Linawati, M.S., Neuhold, E.J., Tjoa, A.M. and You, I.and Eds), Springer Berlin Heidelberg
    • Mousannif, H. and Khalil, I. (2014), “The human face of mobile”, Linawati, M.S., Neuhold, E.J., Tjoa, A.M. and You, I. (Eds), ICT-Eur Asia 2014, Springer Berlin Heidelberg.
    • (2014) ICT-Eur Asia 2014
    • Mousannif, H.1    Khalil, I.2
  • 60
    • 84859448699 scopus 로고    scopus 로고
    • Cooperation as a service in VANET: implementation and simulation results
    • Mousannif, H., Khalil, I. and Olarju, S. (2012), “Cooperation as a service in VANET: implementation and simulation results”, Mobile Information Systems Journal, Vol. 8, pp. 153-172.
    • (2012) Mobile Information Systems Journal , vol.8 , pp. 153-172
    • Mousannif, H.1    Khalil, I.2    Olarju, S.3
  • 63
    • 84977564720 scopus 로고    scopus 로고
    • accessed, 30 April 2014
    • Nemschoff, M. (2014), “Big data and manufacturing quality”, available at: https://smartdatacollective.com/michelenemschoff/176666/how-big-data-can-improve-manufacturing-quality (accessed 30 April 2014).
    • (2014) Big data and manufacturing quality
    • Nemschoff, M.1
  • 64
    • 84969388830 scopus 로고    scopus 로고
    • accessed, 21 February 2014
    • Neo4j (2014), “What is a graph database?”, available at: www.neo4j.org/learn/graphdatabase (accessed 21 February 2014).
    • (2014) What is a graph database?
  • 65
    • 84977599202 scopus 로고    scopus 로고
    • accessed, 15 May 2014
    • Network Computing (2010), “Negotiating cloud computing contracts – network computing”, available at: www.networkcomputing.com/cloud-infrastructure/negotiating-cloud-computing-contracts/d/d-id/1231794 (accessed 15 May 2014).
    • (2010) Negotiating cloud computing contracts – network computing
  • 67
    • 84977598109 scopus 로고    scopus 로고
    • accessed, 20 March 2014
    • NoSQL-database (2014), “List of NoSQL databases”, available at: http://nosql-database.org/ (accessed 20 March 2014).
    • (2014) List of NoSQL databases
  • 70
    • 84977589709 scopus 로고    scopus 로고
    • accessed, 18 March 2014
    • Open_data.Europa (2014), “European Union open data portal”, available at: https://open-data.europa.eu/en/data/ (accessed 18 March 2014).
    • (2014) European Union open data portal
  • 71
    • 84977542674 scopus 로고    scopus 로고
    • accessed, 2 May 2014
    • Openfoodfacts.org (2014), “Open food facts – France”, available at: http://fr.openfoodfacts.org/ (accessed 2 May 2014).
    • (2014) Open food facts – France
  • 77
    • 84977486695 scopus 로고    scopus 로고
    • accessed, 17 March 2014
    • Sas.com (2016b), “SAS visual analytics”, available at: www.sas.com/en_us/software/business-intelligence/visual-analytics.html (accessed 17 March 2014).
    • (2016) SAS visual analytics
  • 79
    • 84864220633 scopus 로고    scopus 로고
    • Crowdsourcing for human subjects research
    • Schmidt, L.A. (2010), “Crowdsourcing for human subjects research”, CrowdConf 2010.
    • (2010) CrowdConf 2010
    • Schmidt, L.A.1
  • 83
    • 84977600746 scopus 로고    scopus 로고
    • Talend (2012), “How big is big data adoption?”, available at: http://info.talend.com/rs/talend/images/WP_EN_BD_Talend_SurveyResults_BigDataAdoption.pdf
    • (2012) How big is big data adoption?
  • 85
    • 84963722836 scopus 로고    scopus 로고
    • accessed, 23 March 2014
    • TATA Consultancy Services (2013), “The emerging big returns on big data”, available at: www.tcs.com/SiteCollectionDocuments/Trends_Study/TCS-Big-Data-Global-Trend-Study-2013.pdf (accessed 23 March 2014).
    • (2013) The emerging big returns on big data
  • 86
    • 84973560104 scopus 로고    scopus 로고
    • accessed, 2 May 2014
    • TATA Consultancy Services (2014), “Manufacturing: big data benefits and challenges”, available at: http://sites.tcs.com/big-data-study/manufacturing-big-data-benefits-challenges/ (accessed 2 May 2014).
    • (2014) Manufacturing: big data benefits and challenges
  • 89
    • 84977497342 scopus 로고    scopus 로고
    • accessed, 16 March 2014
    • Twitter Developers (2014), “History of the REST and search API”, available at: https://dev.twitter.com/docs/history-rest-search-api (accessed 16 March 2014).
    • (2014) History of the REST and search API
  • 90
    • 84977580353 scopus 로고    scopus 로고
    • (accessed, 2 May 2014
    • Tynt (2014), available at: www.tynt.com/ (accessed 2 May 2014).
    • (2014)
  • 93
    • 84977528910 scopus 로고    scopus 로고
    • accessed, 8 March 2014
    • Vortmetric (2014), “Big data security intelligence solution”, available at: www.vormetric.com/data-security-solutions/applications/big-data-security (accessed 8 March 2014).
    • (2014) Big data security intelligence solution
  • 94
    • 84977488861 scopus 로고    scopus 로고
    • accessed, 24 February 2014
    • Wikibon Blog (2016), “The big list of big data infographics”, available at: http://wikibon.org/blog/big-data-infographics/ (accessed 24 February 2014).
    • (2016) The big list of big data infographics
  • 95
    • 84977490126 scopus 로고    scopus 로고
    • accessed, 17 March 2014
    • Woodie, A. (2014), “SAS and IBM king of analytics hill, but for how long?”, available at: www.datanami.com/datanami/2014-03-03/sas_and_ibm_king_of_analytics_hill_but_for_how_long_.html (accessed 17 March 2014).
    • (2014) SAS and IBM king of analytics hill, but for how long?
    • Woodie, A.1
  • 96
    • 84977510439 scopus 로고    scopus 로고
    • accessed, 18 March 2014
    • WorldBank (2014a), “Open data catalog”, available at: http://datacatalog.worldbank.org/ (accessed 18 March 2014).
    • (2014) Open data catalog
  • 97
    • 84977482822 scopus 로고    scopus 로고
    • accessed, 18 March 2014
    • WorldBank (2014b), “The world bank for developers”, available at: http://data.worldbank.org/developers (accessed 18 March 2014).
    • (2014) The world bank for developers
  • 98
    • 84977550973 scopus 로고    scopus 로고
    • (accessed, 18 March 2014
    • Yelp.com (2014), Yelp Dataset Challenge | Yelp, available at: www.yelp.com/academic_dataset (accessed 18 March 2014).
    • (2014) Yelp Dataset Challenge | Yelp
  • 99
    • 84977554966 scopus 로고    scopus 로고
    • (accessed, 10 March 2016
    • Youtube.com (2016), Statistics – YouTube, available at: www.youtube.com/yt/press/statistics.html (accessed 10 March 2016).
    • (2016) Statistics – YouTube
  • 100
    • 84977567847 scopus 로고    scopus 로고
    • accessed, 6 April 2014
    • Zeromq (2014), “Code connected”, available at: http://zeromq.org/ (accessed 6 April 2014).
    • (2014) Code connected
  • 101
    • 84889853931 scopus 로고    scopus 로고
    • The design and implementation of modern column-oriented database systems
    • accessed, 16 June 2014
    • Abadi, D., Boncz, P., Harizopoulos, S., Idreos, S. and Madden, S. (2012), “The design and implementation of modern column-oriented database systems”, Foundations and Trends® in Databases, Vol. 5 No. 3, pp. 197-280, available at: www.nowpublishers.com/articles/foundations-and-trends-in-databases/DBS-024 (accessed 16 June 2014).
    • (2012) Foundations and Trends® in Databases , vol.5 , Issue.3 , pp. 197-280
    • Abadi, D.1    Boncz, P.2    Harizopoulos, S.3    Idreos, S.4    Madden, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.