BucDoop: Bottom Up Computation of Iceberg Data Cubeswith Hadoop

Tsakonas Konstantinos

URI	http://purl.tuc.gr/dl/dias/D69AC56A-8C7C-4B1D-B939-028196AFD721	-
Identifier	https://doi.org/10.26233/heallink.tuc.21971	-
Language	en	-
Extent	1.9 megabytes	en
Title	BucDoop: Bottom Up Computation of Iceberg Data Cubes with Hadoop	en
Creator	Tsakonas Konstantinos	en
Creator	Τσακωνας Κωνσταντινος	el
Contributor [Thesis Supervisor]	Deligiannakis Antonios	en
Contributor [Thesis Supervisor]	Δεληγιαννακης Αντωνιος	el
Contributor [Committee Member]	Garofalakis Minos	en
Contributor [Committee Member]	Γαροφαλακης Μινως	el
Contributor [Committee Member]	Christodoulakis Stavros	en
Contributor [Committee Member]	Χριστοδουλακης Σταυρος	el
Publisher	Πολυτεχνείο Κρήτης	el
Publisher	Technical University of Crete	el
Academic Unit	Technical University of Crete::School of Electronic and Computer Engineering	en
Academic Unit	Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών	el
Description	BucDoop: Bottom Up Computation of Iceberg Data Cubes With Hadoop	en
Content Summary	Big 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 Item	Μεταπτυχιακή Διατριβή	el
Type of Item	Master Thesis	en
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2014-09-26	-
Date of Publication	2014	-
Subject	Algorithmic knowledge discovery	en
Subject	Factual data analysis	en
Subject	KDD (Information retrieval)	en
Subject	Knowledge discovery in data	en
Subject	Knowledge discovery in databases	en
Subject	Mining, Data	en
Subject	data mining	en
Subject	algorithmic knowledge discovery	en
Subject	factual data analysis	en
Subject	kdd information retrieval	en
Subject	knowledge discovery in data	en
Subject	knowledge discovery in databases	en
Subject	mining data	en
Subject	Online Analytical Processing technology	en
Subject	olap technology	en
Subject	online analytical processing technology	en
Subject	Map reduce	en
Subject	Hadoop	en
Subject	Bottom Up Computation	en
Subject	Data aggregation	en
Subject		en
Subject	Iceberg cube	en
Subject	Data cube	en
Bibliographic Citation	Konstantinos 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, 2014	en
Bibliographic Citation	Κωνσταντίνος Τσάκωνας, "BucDoop: Bottom Up Computation of Iceberg Data Cubes with Hadoop", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2014	el

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BucDoop: Bottom Up Computation of Iceberg Data Cubeswith Hadoop

Tsakonas Konstantinos

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