Parteek Bhatia · Cambridge University Press eBooks · 2019
Chapter Objectives✓ To understand the need for online analytical processing✓ To distinguish OLAP from OLTP and data mining✓ To comprehend the representation of multi-dimensional view of data✓ To understand and apply the concept of data cube in real world applications✓ To implement multi-dimensional view of data in Oracle✓ To understand different types of OLAP Servers such as ROLAP and MOLAP✓ To able to perform different OLAP Operations on the database
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Catherine Dawson · 2019
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Derek Drake · Zenodo (CERN European Organization for Nuclear Research) · 2024
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Sushil Jajodia, Pierangela Samarati, Moti Yung · 2025
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Мадяк, Олена Петрівна · ELARTU (Ternopil National Technical University) · 2018
Дипломна робота присвячена дослідженню та опрацюванню інформації засобами On-line Analitical Processing Cube. Здійснено аналіз літературних джерел, проведено порівняльний аналіз платформ (середовищ) призначених для побудови OLAP кубів, обрано найбільш раціональну платформу (середовище), яке є оптимальною по більшості технічних параметрів, та яку варто рекомендувати імплементовувати бізнес-структурам у своїй діяльності та здійснено практичну побудову OLAP кубу.
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Rebecca Boon-Noi Tan · IGI Global eBooks · 2011
Since its origin in the 1970’s research and development into databases systems has evolved from simple file storage and processing systems to complex relational databases systems, which have provided a remarkable contribution to the current trends or environments. Databases are now such an integral part of day-to-day life that often people are unaware of their use. For example, purchasing goods from the local supermarket is likely to involve access to a database. In order to retrieve the price of the item, the application program will access the product database. A database is a collection of related data and the database management system (DBMS) is software that manages and controls access to the database (Elmasri & Navathe, 2004).
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Vieweg+Teubner eBooks · 2008
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Eric J. Engels · Controlling · 1995
Die Menge der Daten in den Unternehmen ist in den letzten fünfzehn Jahren ins Astronomische gewachsen. Die Entwicklung relationaler Datenbanken, Tabellenkalkulationen, Personal Computer und vielfältiger anwendungsorientierter Softwarelösungen hat die Datenbanken in Unternehmen sowohl in ihrer Komplexität als auch in ihrer Größe ausufern lassen. Gleichzeitig stieg damit der Bedarf an anspruchsvollen Analysen und schnellen Synthesen qualitativ besserer Informationen. Relationale Datenbankmodelle konnten diesem Anspruch bislang nur bedingt gerecht werden. Nachdem E.F. Codd, geistiger Vater des Relationalen Datenbankmodells, dies erkannt hatte, entwickelte er das theoretische Konzept des On-Line Analytical Processing (OLAP), das er mit zwölf Regeln konkretisierte. Der vorliegende Beitrag beschreibt nach einem Aufsatz von Codd das Modell des OLAP als idealtypische Abbildungs- und Analysesystematik für betriebswirtschaftliche Daten und stellt ein Produkt vor, das dem theoretischen Anspruch von OLAP nach E.F. Codd gerecht wird.
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Shashi Shekhar, Hui Xiong · Encyclopedia of GIS · 2008
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Alberto Abelló, Oscar E Romero · Encyclopedia of Database Systems · 2014
Cited by 14Open access
SpringerReference · 2011
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Abelló Gamazo, Alberto, Romero Moral, Óscar · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2017
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Alberto Abelló, Oscar Romero · Encyclopedia of Database Systems · 2009
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Robert J. Thierauf · Elsevier eBooks · 2003
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Martina-Cezara Albutiu · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 2013
Scalable analytical query processing in database systems aims at providing business intelligence applications with up-to-date information and at leveraging additional resources to improve query processing performance. This thesis examines three approaches to achieve this goal: synergy-based workload management optimizing query workload performance, robust execution of single queries, and massively parallel query processing on modern hardware.
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Kamagate Azoumana · Investigación e Innovación en Ingenierías · 2013
Este procesamiento analítico le da pautas al mundo empresarial, en permitir realizar análisis multidimensional de las bases de datos de gran volumen en las organizaciones, para realizar toma de decisiones de los mismos (que son el tema de consultas especiales). Un sistema OLAP debe cumplir las reglas del Dr. Codd: Se tiene que tener una visión multidimensional de los datos; Pensar en dimensiones y métricas de Negocio. No en tablas y en campos.
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Miksovsky, Petr, Kouba, Zdenek, CVUT Praha, Praha (Czech Republic) · OpenGrey (Institut de l'Information Scientifique et Technique) · 2001
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Rebecca Boon-Noi Tan · IGI Global eBooks · 2011
Since its origin in the 1970’s research and development into databases systems has evolved from simple file storage and processing systems to complex relational databases systems, which have provided a remarkable contribution to the current trends or environments. Databases are now such an integral part of day-to-day life that often people are unaware of their use. For example, purchasing goods from the local supermarket is likely to involve access to a database. In order to retrieve the price of the item, the application program will access the product database. A database is a collection of related data and the database management system (DBMS) is software that manages and controls access to the database (Elmasri & Navathe, 2004). Request access from your librarian to read this chapter's full text.
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Zhou Junwu · The ECPH Encyclopedia of Mining and Metallurgy · 2024
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Лісовий, Н., Ставицька, А., Гіжовський, А. et al. · ELARTU (Ternopil National Technical University) · 2022
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