Дисертації з теми "OLAP Systems"
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Kotsis, Nikolaos. "Multidimensional aggregation in OLAP systems." Thesis, University of Strathclyde, 2000. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21149.
Повний текст джерелаAho, Milja. "Optimisation of Ad-hoc analysis of an OLAP cube using SparkSQL." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329938.
Повний текст джерелаMaknytė, Lina. "Intelektualių veslo sistemų modeliavimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120620_111437-00453.
Повний текст джерелаIn the first part of master thesis analyzing the main problems, which are in organization management. The main purpose of this part is to find a solution how can resolve this problems. Business intelligence systems are the best solution. In this part analyzing business intelligence systems definition, architecture and also analyze what is different in business intelligence systems comparing with other informatics management systems. The second part of work analyzes business intelligence problems related with creation, developing and using BIS. Analyze the most popular tools like OALP and QlikView. Compare the OLAP and QlikView. Analyze QlikView like data loading from memory. Explain the advantages and disadvantages of QlikView and OLAP. The third part analyzes designing and planning of business intelligence systems. Analyze what is the main purpose to create good system which will be useful in organizations. In this part also analyze the UML modems for BIS. In the last part is presenting solutions for problems which was analyzed in the second part. The examples are created using UML diagrams.
Fischer, Ulrike. "Forecasting in Database Systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-133281.
Повний текст джерелаJernberg, Robert, and Tobias Hultgren. "Flexible Data Extraction for Analysis using Multidimensional Databases and OLAP Cubes." Thesis, KTH, Data- och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123393.
Повний текст джерелаBright är ett företag som tillhandahåller undersökningar för kund- och medarbetarnöjdhet, och använder den informationen för att ge återkoppling till sina kunder. Data från undersökningarna sparas i en relationsdatabas och information genereras både genom att direkt fråga databasen såväl som att göra manuell analys på extraherad data. När mängden data ökar så ökar även tiden som krävs för att generera informationen. För att extrahera data krävs en betydande mängd manuellt arbete och i praktiken undviks det. Då detta inte är ett ovanligt problem finns det ett gediget teoretiskt ramverk kring området. Målet med detta examensarbete är att utforska de olika metoderna för att uppnå flexibel och effektiv dataanalys på stora mängder data. Det implementerades genom att använda en multidimensionell databas designad för analys samt en OnLine Analytical Processing (OLAP)-kub byggd med Microsoft SQL Server Analysis Services (SSAS). Kuben designades med möjligheten att extrahera data på en individuell nivå med PivotTables i Excel. Den implementerade prototypen analyserades vilket visade att prototypen konsekvent levererar korrekta resultat flerfaldigt så effektivt som den nuvarande lösningen såväl som att göra nya typer av analys möjliga och lättanvända. Slutsatsen dras att användandet av en OLAP-kub var ett bra val för det aktuella problemet, samt att valet att använda SSAS tillhandahöll de nödvändiga funktionaliteterna för en funktionell prototyp. Slutligen diskuterades rekommendationer av möjliga framtida utvecklingar.
Bell, Daniel M. "An evaluative case report of the group decision manager : a look at the communication and coordination issues facing online group facilitation /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9901215.
Повний текст джерелаJäcksch, Bernhard [Verfasser]. "A Plan For OLAP: Optimization Of Financial Planning Queries In Data Warehouse Systems / Bernhard Jäcksch." München : Verlag Dr. Hut, 2011. http://d-nb.info/1017353700/34.
Повний текст джерелаFunke, Florian Andreas [Verfasser], Alfons [Akademischer Betreuer] Kemper, Thomas [Akademischer Betreuer] Neumann, and Stefan [Akademischer Betreuer] Manegold. "Adaptive Physical Optimization in Hybrid OLTP & OLAP Main-Memory Database Systems / Florian Andreas Funke. Gutachter: Thomas Neumann ; Alfons Kemper ; Stefan Manegold. Betreuer: Alfons Kemper." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1076124976/34.
Повний текст джерелаFeng, Haitang. "Data management in forecasting systems : optimization and maintenance." Phd thesis, Université Claude Bernard - Lyon I, 2012. http://tel.archives-ouvertes.fr/tel-00997235.
Повний текст джерелаWesterlund, Elisabeth, and Hanna Persson. "Implementation of Business Intelligence Systems : A study of possibilities and difficulties in small IT-enterprises." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-255915.
Повний текст джерелаMadron, Lukáš. "Datové sklady a OLAP v prostředí MS SQL Serveru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235916.
Повний текст джерелаMeira, Katia Milena Gonçalves. "Utilização da tecnologia Data Warehousing e da ferramenta OLAP para apoiar a captação de doadores de sangue: estudo de caso no Hemonúcleo Regional de Jáu." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/18/18140/tde-01082017-115123/.
Повний текст джерелаMany times, researches sorrounding the health area focus on the diagnostic instead of the managerial character of the institution. Because of this, the health units with their details need reliable and precise information to help them in their decision making. The blood banks live a constant battle to capture blood donors to guarantee a good quantity and quality of blood components for their region and they need information that can help them maintain storage of the blood. Data Warehouse technology brings a lot of benefits because they allow the storage of historic data that, when related, can present tendences and identify unknown relationships. Besides, Data Warehouse technology frequently uses user-friendly interface tools. Therefore, this research has a aim to develop a decision supporting tool that extract data from the current transaction database of Regional Blood Bank of Jau and that check these data so that the information may be easily and quickly accessed by the final user(s).
Kamath, Akash S. "An efficient algorithm for caching online analytical processing objects in a distributed environment." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174678903.
Повний текст джерелаWeherage, Pradeep Peiris. "BigDataCube: Distributed Multidimensional Data Cube Over Apache Spark : An OLAP framework that brings Multidimensional Data Analysis to modern Distributed Storage Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215696.
Повний текст джерелаMultidimensional Data Analysis är en viktig del av Data Analytic paradigm. Data Cube tillhandahåller den grundläggade abstraktionen för Multidimensional Data Analysis och hjälper till att hitta användningsbara observationer av ett dataset. OnLine Analytical Processing (OLAP) lyfter det till nästa nivå och stödjer resultat från analytiska frågor i realtid med en underliggande teknik som materliserar Data Cubes. Data Cube Materialization är signifikant för OLAP, men är en kostsam uppgift vad gäller processa och lagra datat.De flesta av tidiga beslutssystem uppfyller Multidimensional Data Analysis med en standarddataarkitektur som extraherar, transformerar och läser data från flera datakällor in I en central databas, s.k. Data Warehouse, som exekveras av OLAP och tillhandahåller en Data Cube-abstraktion. Men denna arkitektur och tradionella OLAP-motorer klarar inte att hantera moderna högbelastade datasets. Idag har vi system med distribuerad datalagring, som har data på ett kluster av datornoder, med distribuerade dataprocesser, så som MapReduce, Spark, Storm etc. Dessa tillåter en mer ad-hoc dataanalysfunktionalitet. Än så länge så finns det ingen korrekt angreppsätt tillgänlig för Multidimensional Data Analysis eller någon distribuerad OLAP-motor som följer Distributed Data Cube Materialization.Det är viktigt att ha en korrekt Distributed Data Cube Materializationmekanism för att stödja Multidimensional Data Analysis för dagens distribuerade lagringssystem. Det finns många forskningarar idag som tittar på MapReduce för Data Cube Materialization. Nyligen har även Apache Spark tillgänglitgjort CUBE-operationer som en del av deras DataFrame API. Detta examensarbete tar upp frågeställningen, vilket som är det bästa angrepssättet för distribuerade system för Data Cube Materialization, MapReduce eller Spark. Arbetet bidrar dessutom med experiment som jämför de två distribuerade systemen i materialiserande datakubar över antalet poster, dimensioner och klusterstorlek. Examensarbetet bidrar även med ett mindre ramverk BigDataCube, som använder Spark DataFramesi bakgrunden för Data Cube Materialization och uppfyller behovet av Multidimensional Data Analysis av distribuerade lagringssystem.
Tocci, Gabriel. "A Comparison of Leading Database Storage Engines in Support of Online Analytical Processing in an Open Source Environment." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1111.
Повний текст джерелаFilus, Michal. "Podpora rozhodování v CRM systému." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-235527.
Повний текст джерелаArres, Billel. "Optimisation des performances dans les entrepôts distribués avec Mapreduce : traitement des problèmes de partionnement et de distribution des données." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2012.
Повний текст джерелаIn this manuscript, we addressed the problems of data partitioning and distribution for large scale data warehouses distributed with MapReduce. First, we address the problem of data distribution. In this case, we propose a strategy to optimize data placement on distributed systems, based on the collocation principle. The objective is to optimize queries performances through the definition of an intentional data distribution schema of data to reduce the amount of data transferred between nodes during treatments, specifically during MapReduce’s shuffling phase. Secondly, we propose a new approach to improve data partitioning and placement in distributed file systems, especially Hadoop-based systems, which is the standard implementation of the MapReduce paradigm. The aim is to overcome the default data partitioning and placement policies which does not take any relational data characteristics into account. Our proposal proceeds according to two steps. Based on queries workload, it defines an efficient partitioning schema. After that, the system defines a data distribution schema that meets the best user’s needs, and this, by collocating data blocks on the same or closest nodes. The objective in this case is to optimize queries execution and parallel processing performances, by improving data access. Our third proposal addresses the problem of the workload dynamicity, since users analytical needs evolve through time. In this case, we propose the use of multi-agents systems (MAS) as an extension of our data partitioning and placement approach. Through autonomy and self-control that characterize MAS, we developed a platform that defines automatically new distribution schemas, as new queries appends to the system, and apply a data rebalancing according to this new schema. This allows offloading the system administrator of the burden of managing load balance, besides improving queries performances by adopting careful data partitioning and placement policies. Finally, to validate our contributions we conduct a set of experiments to evaluate our different approaches proposed in this manuscript. We study the impact of an intentional data partitioning and distribution on data warehouse loading phase, the execution of analytical queries, OLAP cubes construction, as well as load balancing. We also defined a cost model that allowed us to evaluate and validate the partitioning strategy proposed in this work
Oketunji, Temitope, and Olalekan Omodara. "Design of Data Warehouse and Business Intelligence System : A case study of Retail Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3738.
Повний текст джерелаBaker, Elizabeth White. "The Impact of Relational Model Bases on Organizational Decision Making: Cases in E-Commerce and Ecological Economics." VCU Scholars Compass, 2006. http://hdl.handle.net/10156/1399.
Повний текст джерелаFortulan, Marcos Roberto. "O uso de business intelligence para gerar indicadores de desempenho no chão-de-fábrica: uma proposta de aplicação em uma empresa de manufatura." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-11062006-185813/.
Повний текст джерелаThe shop floor evolution in the last century has transformed it in a strategic area for the companies, through which is possible to reach and to satisfy the customers needs. This new shop floor generates today a great amount of data by the productive process controls, the ones which, in many cases, after its immediate use or in a short period, are discarded or stored inadequately, disabling or making impossible its access. These data, however, can come to have an important use as raw material for the production of useful information to the business administration. Together to the need that the companies have today to possess an appropriated performance measure system, it is possible to obtain, from the historical shop floor data, a good performance indicators group for the area. For that, these data must be modeled by systems specifically designed for this purpose. These systems have been treated as decision support systems (DSS) or Business Intelligence (BI). As solution for the problems above, it was made a review over the following themes: information systems, ERP, performance measure system, information quality, DSS/BI, as well as a review about the scientific works related to this thesis theme. Once consolidated these concepts, started the development of a BI dimensional model, that used Data Warehouse tools, On Line Analytical Processing (OLAP) and Data Mining. It was used the Analysis Services software, belonged to the Microsoft SQL Server 2000 database. In the following, the model was tested with real data from a metal-mechanic company branch, called here as company A. Through the model and of the real data, a series of analyses was accomplished with the intention of showing the model contribution, capacity, flexibility and use easiness, reaching the proposed objective
Bouadi, Tassadit. "Analyse multidimensionnelle interactive de résultats de simulation : aide à la décision dans le domaine de l'agroécologie." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00933375.
Повний текст джерелаPetroski, Luiz Pedro. "Uma arquitetura para integração de ambientes data warehouse, espacial e agricultura de precisão." UNIVERSIDADE ESTADUAL DE PONTA GROSSA, 2017. http://tede2.uepg.br/jspui/handle/prefix/143.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
The aim of this work is to present a proposal of integration between Precision Agriculture, DataWarehouse / OLAP and GIS. The integration should use extensible and open components, agricultural modeling for decision support, geographical data support, communication interface between components, extension of existing GIS and Data Warehouse solutions. As a result of the integration, an open and extensible architecture was defined, with a spatial agricultural data warehouse modeling. In this way the technologies and tools are open and allow the implementation and extension of its functionalities to adapt to the agricultural scenario of decision. In order to perform the integration, the data were obtained from a farm in the city of Piraí do Sul/PR, which uses proprietary software for data management. Data was exported to the SHAPEFILE format, and through the process performed by the ETL tool, was extracted, transformed and loaded into the analytical database. Also as a source of political boundaries data of rural regions of Brazil, data from the IBGE were used. The database was modeled and implemented by PostgreSQL DBMS with the extension PostiGIS to support spatial data. To provide the OLAP query service, was used the Geomondrian server. The application was extended from the Geonode project, where it was implemented Analytic functionalities, and the interface between the application and the OLAP was performed by the Mandoline API and the OLAP4J library. And finally the interface was implemented through javascript libraries for creating charts, tables and maps. As principal result, an architecture was obtained for Data Warehouse integration, OLAP operations, agricultural and spatial data, as well as ETL process definition and the user interface.
O objetivo desta dissertação é apresentar uma proposta de integração entre agricultura de precisão, Data Warehouse/OLAP e SIG. A integração deve utilizar componentes abertos e extensíveis, modelagem agrícola para suporte a decisão, suporte a dados geográficos, interface de comunicação entre os componentes e a extensão de soluções existentes de SIG e Data Warehouse. Como resultado da integração foi definido uma arquitetura aberta e extensível, integrada, com uma modelagem de Data Warehouse agrícola espacial, que permite o suporte a tomada de decisão para o planejamento e gestão do manejo das práticas da agricultura de precisão. Desta forma as tecnologias e ferramentas utilizadas são abertas e permitem a implementação e extensão de suas funcionalidades para adequar ao cenário agrícola de tomada de decisão. Para realizar a integração foi utilizado os dados oriundos de uma fazenda localizada em Piraí do Sul/PR, a qual utiliza um software proprietário para o gerenciamento de dados. Os dados foram exportados para o formato SHAPEFILE, e através do processo realizado pela ferramenta de ETL, foram extraídos, transformados e carregados para a base de dados analítica. Também como fonte de dados sobre as fronteiras políticas das regiões rurais do Brasil, foi utilizado dados do IBGE. A base de dados analítica foi modelada e implementada em um SGBD PostgreSQL com a extensão PostiGIS para suportar os dados geográficos. Para prover o serviço de consultas OLAP, foi utilizado o servidor Geomondrian. A aplicação foi estendida do projeto Geonode, onde foi implementado as funcionalidades analíticas, e a interface entre a aplicação e o servidor OLAP, foi realizada pela API Mandoline e a biblioteca OLAP4J. E por fim a interface foi implementada por meio de bibliotecas javascript para a criação de gráficos, tabelas e mapas. Como principal resultado, obteve-se uma arquitetura para integração de datawarehouse, operações OLAP, dados espaciais e agricultura, bem como definição do processo de ETL e a interface com o usuário.
Gouveia, Roberta Macêdo Marques. "Mineração de dados em data warehouse para sistema de abastecimento de água." Universidade Federal da Paraíba, 2009. http://tede.biblioteca.ufpb.br:8080/handle/tede/6054.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
This work propose to use technologies of databases with the aim of providing decision support for managers of sector of sanitation, given that the services of water supply for use of the population are a key indicator of quality of life. The fundamental idea is to collect operational data, reduce them to the scope of the problem, organize them into a repository of data, and finally apply the techniques OLAP and Data Mining algorithms to obtain results that give managers a better understanding of the behavior and profile of the company. To facilitate the application of the techniques of Data Mining is necessary that the data are stored properly. Accordingly, an alternative for increasing the efficiency in storage, management and operation of data to support the decision based on the development of Data Warehouse. This is source of strategic information of the business, creating a competitive differential for the company. In this context, was required to implement the repository of data, Data Warehouse, to store, integrate and carry out consultations on the multidimensional data from the company of water supply. Therefore, this Master's thesis aims to design a Data Warehouse relating to Departmental Business, also known as Data Mart; applied the technology on the OLAP multidimensional cubes of data, and run the Data Mining algorithms to the generation of a decision support system to minimize the apparent losses in the urban water supply system.
Esta dissertação se propõe a utilizar tecnologias de Banco de Dados com a finalidade de oferecer apoio à decisão para os gestores do setor de saneamento, haja vista que os serviços de abastecimento de água para uso da população se constituem em um dos principais indicadores da qualidade de vida da humanidade. A idéia fundamental consiste em coletar os dados operacionais, reduzi-los ao escopo de um problema, organizá-los em um repositório de dados, e finalmente aplicar as tecnologias OLAP e os algoritmos de Mineração de Dados, a fim de obter resultados que proporcionem aos gestores um melhor entendimento do comportamento e perfil da companhia. Para facilitar a aplicação de técnicas de Mineração de Dados é necessário que estes dados estejam armazenados apropriadamente. Neste sentido, uma das alternativas para o aumento da eficiência no armazenamento, gestão e operação dos dados para o suporte a decisão baseia-se no desenvolvimento do Data Warehouse. Este ambiente constitui fontes de informações estratégicas do negócio, gerando um diferencial competitivo para a companhia. Diante deste contexto, se fez necessário a implementação do repositório de dados, o Data Warehouse, para armazenar, integrar e realizar as consultas multidimensionais sobre os dados extraídos da companhia de abastecimento de água. Portanto, esta dissertação de mestrado tem como objetivos projetar um Data Warehouse Departamental referente ao setor comercial, também conhecido como Data Mart; aplicar as tecnologias OLAP sobre os cubos de dados multidimensionais; e executar algoritmos de Mineração de Dados visando a geração de um sistema de apoio à decisão para minimização das perdas aparentes no sistema de abastecimento urbano de água.
Widehammar, Per, and Robin Langell. "BIOMA : En modell för att bedöma en organisations BI-mognad ur ett multidimensionellt perspektiv." Thesis, Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59872.
Повний текст джерелаThe increased globalization and the recent financial crisis have put high demands on the monitoring and awareness of an organization's performance. Business Intelligence (BI) is an area which aims to improve this performance through analysis of historical data. BI is a complex question for organization’s because it involves more than just technical solutions for maximum performance. Organizations are currently investing in different BI solutions and a list of priorities has to be made to ensure balanced resource allocation within a BI-implementation. To this day no single business intelligence model exists that can adequately measure a company’s work from several perspectives. The purpose of this study was to develop a maturity model for BI and use it in a case study of three different well-known Swedish companies; Axfood, Scania and Systembolaget, to measure their BI-maturity. To achieve the purpose of the study, three distinct research questions arose; "What would a model for measuring a company’s Business Intelligence maturity look like? How would this model be constructed? And finally “What conditions could potentially affect an organization’s maturity in Business Intelligence?". The Maturity Model BIOMA (Business Intelligence Organizational Maturity Analysis) is made up of four categories, which in turn are divided into one or more sub-categories. A subcategory consists of several statements. Each statement carries a certain number of points. When the points are combined, the summarized amount is inserted into a coordinate system. Within this, the axies correspond to the pillars and the score is based on the origo-point. Measuring a company's BI-maturity is a complex research question, where a number of aspects such as organizational structure, end-user involvement, and the gap between IT department and business can be of great importance. BIOMA was empirically tested in the case study. The responders in each company judged their company based on the statements in each subcategory. Following this they made suggestions on ways to change the model. By applying these suggestions to the original material, the model was then redeveloped to create a final version. The model can be used for various purposes, such as processes within organizations or in benchmarking. It can also be used by consultants in Sales support as a pilot study for clarifying a company’s present BI-maturity. In this absence of a model that could visually describe a company’s BI maturity multidimensionally, we believe that BIOMA has substantial and existing business potential.
Koylu, Caglar. "A Case Study In Weather Pattern Searching Using A Spatial Data Warehouse Model." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609573/index.pdf.
Повний текст джерелаAligon, Julien. "Similarity-based recommendation of OLAP sessions." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4022/document.
Повний текст джерелаOLAP (On-Line Analytical Processing) is the main paradigm for accessing multidimensional data in data warehouses. To obtain high querying expressiveness despite a small query formulation effort, OLAP provides a set of operations (such as drill-down and slice-and-dice) that transform one multidimensional query into another, so that OLAP queries are normally formulated in the form of sequences called OLAP sessions. During an OLAP session the user analyzes the results of a query and, depending on the specific data she sees, applies one operation to determine a new query that will give her a better understanding of information. The resulting sequences of queries are strongly related to the issuing user, to the analyzed phenomenon, and to the current data. While it is universally recognized that OLAP tools have a key role in supporting flexible and effective exploration of multidimensional cubes in data warehouses, it is also commonly agreed that the huge number of possible aggregations and selections that can be operated on data may make the user experience disorientating
Totok, Andreas. "Modellierung von OLAP- und Data-Warehouse-Systemen /." Wiesbaden : Dt. Univ.-Verl. [u.a.], 2000. http://www.gbv.de/dms/ilmenau/toc/312031483.PDF.
Повний текст джерелаKoukal, Bohuslav. "OLAP Recommender: Supporting Navigation in Data Cubes Using Association Rule Mining." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359132.
Повний текст джерелаPonelis, S. R. (Shana Rachel). "Data marts as management information delivery mechanisms: utilisation in manufacturing organisations with third party distribution." Thesis, University of Pretoria, 2002. http://hdl.handle.net/2263/27061.
Повний текст джерелаThesis (MIS(Information Science))--University of Pretoria, 2002.
Information Science
MIS
unrestricted
Chudán, David. "Association rule mining as a support for OLAP." Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-201130.
Повний текст джерелаBlackshaw, Bruce Philip. "Migration of legacy OLTP architectures to distributed systems." Thesis, Queensland University of Technology, 1997. https://eprints.qut.edu.au/36839/1/36839_Blackshaw_1997.pdf.
Повний текст джерелаSeng, Olaf [Verfasser]. "Suchbasierte Strukturverbesserung objektorientierter Systeme / von Olaf Seng." Karlsruhe : Univ.-Verl. Karlsruhe, 2008. http://d-nb.info/988527146/34.
Повний текст джерелаEnge, Olaf [Verfasser]. "Analyse und Synthese elektromechanischer Systeme / Olaf Enge." Aachen : Shaker, 2005. http://d-nb.info/1186589272/34.
Повний текст джерелаHellman, Marcus. "Improving traveling habits using an OLAP cube : Development of a business intelligence system." Thesis, Umeå universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-128576.
Повний текст джерелаPistocchi, Filippo. "Implicit Roll-Up Over Graph-Based Data Integration System." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25357/.
Повний текст джерелаBragagni, Cristiano. "Progettazione di uno strumento di analisi dati per sistemi SCADA-ENERGY Management System." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7927/.
Повний текст джерелаRydzi, Daniel. "Metodika vývoje a nasazování Business Intelligence v malých a středních podnicích." Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77060.
Повний текст джерелаStefanoli, Franklin Seoane. "Proposta de um modelo de sistema de apoio à decisão em vendas: uma aplicação." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/18/18140/tde-11052016-151518/.
Повний текст джерелаThe objective of this study was a development of a decision support system\'s application for sales. Relevant information about business markets and business buying behavior, principles of selling and evaluation models for sales representatives, all of this supported by data warehouse, data mart and OLAP technologies was important to create a generic DSS model as well your application. This generic model was created due to match some information needs of sales professionals from a hypothetic publishing company (yellow page). This system and the information generated by it would improve the effectiveness of sales professionals (sales reps), giving them more information and knowledge about your product, market, customers, users, and offering to sales managers as well decision makers a reliable, fast and interactive tool for sales effort\'s analysis and monitoring. A fast, interactive, reliable and customized visualization of information - characteristics of this system, as well your effectiveness of answering questions presented in the beginning of this study reinforce the utility and applicability of this model in order to satisfy sales professionals, managers and publishing companies information needs.
Vacula, Vladimír. "Využití statistických metod projektu R v systému pro podporu rozhodování." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221936.
Повний текст джерелаStryka, Lukáš. "Návrh využití nástrojů Business Intelligence pro potřeby malé firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221664.
Повний текст джерелаVentzke, Kathrin [Verfasser], Olaf [Akademischer Betreuer] Jöhren, and Johannes [Gutachter] Klein. "Die zirkadiane Regulation des Orexin-Systems / Kathrin Ventzke ; Gutachter: Johannes Klein ; Akademischer Betreuer: Olaf Jöhren." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2019. http://d-nb.info/1209176297/34.
Повний текст джерелаJang, Eunseon [Verfasser], Olaf [Akademischer Betreuer] [Gutachter] Kolditz, Christoph [Gutachter] Schüth, and Seong-Taek [Gutachter] Yun. "Reactive transport simulation of contaminant fate and redox transformation in heterogeneous aquifer systems / Eunseon Jang ; Gutachter: Olaf Kolditz, Christoph Schüth, Seong-Taek Yun ; Betreuer: Olaf Kolditz." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://d-nb.info/1139977229/34.
Повний текст джерелаPaulin, James R. "Performance evaluation of concurrent OLTP and DSS workloads in a single database system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ27065.pdf.
Повний текст джерелаPaulin, James R. (James Robson) 1952 Carleton University Dissertation Computer Science. "Performance evaluation of concurrent OLTP and DSS workloads in a single database system." Ottawa.:, 1997.
Знайти повний текст джерелаBorchert, Christoph [Verfasser], Olaf [Akademischer Betreuer] Spinczyk, and Wolfgang [Gutachter] Schröder-Preikschat. "Aspect-oriented technology for dependable operating systems / Christoph Borchert ; Gutachter: Wolfgang Schröder-Preikschat ; Betreuer: Olaf Spinczyk." Dortmund : Universitätsbibliothek Dortmund, 2017. http://d-nb.info/1133361919/34.
Повний текст джерелаKuperstein, Janice M. "TIKKUN OLAM A FAITH-BASED APPROACH FOR ASSISTING OLDER ADULTS IN HEALTH SYSTEM NAVIGATION." Lexington, Ky. : [University of Kentucky Libraries], 2008. http://hdl.handle.net/10225/799.
Повний текст джерелаTitle from document title page (viewed on August 25, 2008). Document formatted into pages; contains: viii, 152 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 140-149).
Hähnke, Olaf [Verfasser]. "Auftreten cerebraler Ischämien unter dem linksventrikulären Assist-Device-System HeartMate II® / Olaf Hähnke." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1139255231/34.
Повний текст джерелаSchlesinger, Lutz, Wolfgang Lehner, Wolfgang Hümmer, and Andreas Bauer. "Nutzung von Datenbankdiensten in Data-Warehouse-Anwendungen." De Gruyter Oldenbourg, 2003. https://tud.qucosa.de/id/qucosa%3A72851.
Повний текст джерелаThe connection of the applications and the underlying database system is crucial for performing analyses efficiently within a data warehouse system. This paper classifies and discusses different methods to bring data warehouse applications logically close to the underlying database system so that the computation of complex OLAP scenarios may be performed within the database system and not outside at the application. In detail, four different categories ranging from language extension (SQL) over the design of a new query language (MDX) and using special object models (JOLAP) to the use of XML-based WebServices are discussed and compared in detail.
Marquardt, Justus. "Metadatendesign zur Integration von Online Analytical Processing in das Wissensmanagement /." Hamburg : Kovač, 2008. http://www.verlagdrkovac.de/978-3-8300-3598-5.htm.
Повний текст джерелаEl, Malki Mohammed. "Modélisation NoSQL des entrepôts de données multidimensionnelles massives." Thesis, Toulouse 2, 2016. http://www.theses.fr/2016TOU20139/document.
Повний текст джерелаDecision support systems occupy a large space in companies and large organizations in order to enable analyzes dedicated to decision making. With the advent of big data, the volume of analyzed data reaches critical sizes, challenging conventional approaches to data warehousing, for which current solutions are mainly based on R-OLAP databases. With the emergence of major Web platforms such as Google, Facebook, Twitter, Amazon...etc, many solutions to process big data are developed and called "Not Only SQL". These new approaches are an interesting attempt to build multidimensional data warehouse capable of handling large volumes of data. The questioning of the R-OLAP approach requires revisiting the principles of modeling multidimensional data warehouses.In this manuscript, we proposed implementation processes of multidimensional data warehouses with NoSQL models. We defined four processes for each model; an oriented NoSQL column model and an oriented documents model. Each of these processes fosters a specific treatment. Moreover, the NoSQL context adds complexity to the computation of effective pre-aggregates that are typically set up within the ROLAP context (lattice). We have enlarged our implementations processes to take into account the construction of the lattice in both detained models.As it is difficult to choose a single NoSQL implementation that supports effectively all the applicable treatments, we proposed two translation processes. While the first one concerns intra-models processes, i.e., pass rules from an implementation to another of the same NoSQL logic model, the second process defines the transformation rules of a logic model implementation to another implementation on another logic model