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BucDoop: Bottom Up Computation of Iceberg Data Cubeswith Hadoop

Tsakonas Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/D69AC56A-8C7C-4B1D-B939-028196AFD721-
Identifierhttps://doi.org/10.26233/heallink.tuc.21971-
Languageen-
Extent1.9 megabytesen
TitleBucDoop: Bottom Up Computation of Iceberg Data Cubes with Hadoopen
CreatorTsakonas Konstantinosen
CreatorΤσακωνας Κωνσταντινοςel
Contributor [Thesis Supervisor]Deligiannakis Antoniosen
Contributor [Thesis Supervisor]Δεληγιαννακης Αντωνιοςel
Contributor [Committee Member]Garofalakis Minosen
Contributor [Committee Member]Γαροφαλακης Μινωςel
Contributor [Committee Member]Christodoulakis Stavrosen
Contributor [Committee Member]Χριστοδουλακης Σταυροςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteel
Academic UnitTechnical University of Crete::School of Electronic and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
DescriptionBucDoop: Bottom Up Computation of Iceberg Data Cubes With Hadoop en
Content SummaryBig Data analysis has been a key matter during the recent years for the study of various phenomena in various science contexts as well as in business intelligence. Furthermore it appears for good reason to remain in focus for the future. Online Analytical processing methods and Data Cubes need to be further studied in order to reduce time used for efficient data analysis. This study introduces BucDoop, a novel algorithm that exploits the parallelism benefits of Hadoop Map Reduce, for the efficient iceberg data cube creation in reasonable time. BucDoop includes the use of the Bottom Up Computation (BUC) idea in the context of iceberg cube data lattice traversal, managing to reduce the amount of data handled with early pruning architecture and producing the portion of the cube needed for analysis purposes (iceberg problem). Experiments conducted herein present an efficient scalability factor for the creation of the iceberg cube for very big data, by-passing the data explosion and memory constraints problem while using only commodity hardware. en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2014-09-26-
Date of Publication2014-
SubjectAlgorithmic knowledge discoveryen
SubjectFactual data analysisen
SubjectKDD (Information retrieval)en
SubjectKnowledge discovery in dataen
SubjectKnowledge discovery in databasesen
SubjectMining, Dataen
Subjectdata miningen
Subjectalgorithmic knowledge discoveryen
Subjectfactual data analysisen
Subjectkdd information retrievalen
Subjectknowledge discovery in dataen
Subjectknowledge discovery in databasesen
Subjectmining dataen
SubjectOnline Analytical Processing technologyen
Subjectolap technologyen
Subjectonline analytical processing technologyen
SubjectMap reduceen
SubjectHadoopen
SubjectBottom Up Computationen
SubjectData aggregationen
Subjecten
SubjectIceberg cubeen
SubjectData cubeen
Bibliographic CitationKonstantinos Tsakonas, "BucDoop: Bottom Up Computation of Iceberg Data Cubes with Hadoop", Master Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014en
Bibliographic CitationΚωνσταντίνος Τσάκωνας, "BucDoop: Bottom Up Computation of Iceberg Data Cubes with Hadoop", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2014el

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