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Showing 1 to 20 of 30 for “"Data warehouses"”.
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Eine Entwurfsmethodik für Data Warehouses
Seit Jahren finden Data Warehouses (DWHs) als Kern entscheidungsunterstützender Informationssysteme ein starkes Interesse in Forschung und Praxis. Die auf DWHs basierenden Entscheidungen bzw. deren Konsequenzen sind sehr weitreichend, so dass die zugrunde liegende Datenbank gewisse …
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Natural Language Processing on Data Warehouses
… research was to use natural language to query data in a data warehouse. To this effect, two natural language processing models were developed and compared on a classic star-schema sales data warehouse with sales facts and date, location and item dimensions. Utterances are queries that people …
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An infrastructure for the implementation of dynamic data warehouses
<p>Data Warehouses have become a critical part of many organizations knowledge management system. The typical implementation if a data warehouse is designed to support basic data types usually found in legacy and relational database systems. Data Warehousing has always been associated with a large …
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An agent-based adaptive join algorithm for building data warehouses
… by the sheer volume and complexity of data available from their various operational information systems. Many organisations have responded to this challenge by employing data warehousing technologies to make full use of the information in their systems and address real-world business …
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The XFM view adaptation mechanism: An essential component for XML data warehouses
… XML format due to its flexibility for xchanging data between heterogeneous systems. This XML data provides an important resource for decision support systems. As a consequence, XML technology has slowly been included within decision support systems of data warehouse systems. The problem …
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An Automated Data Warehouse
… number of organizations are implementing data warehouses to strengthen their decision support systems. This comes with the challenges of the population and the periodic update of data warehouses. In this thesis, we present a tool that provides users with features to create a warehouse …
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A Comparative Assessment of Methodologies for Solving Problems of Nonlinear Optimization in the Business Sector
… seek to provide a family of solutions. Creating data warehouses using each of exhaustive enumeration, sampling with replacement, and sampling without replacement allows for more expedient analysis. Each method was assessed in terms of time requirements and quality of solution. Aside from …
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Restruturação dinâmica de estruturas multidimensionais de dados em tempo útil
O crescimento do tamanho dos Data Warehouses e do número dos utilizadores impuseram um stresse sucessivamente crescente nos sistemas de processamento analítico. Desde cedo se percebeu que a materialização de estruturas multidimensionais era uma forma de melhorar o tempo de resposta a interrogações …
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HARBOR : an integrated approach to recovery and high availability in an updatable, distributed data warehouse
Any highly available data warehouse will use some form of data replication to ensure that it can continue to service queries despite machine failures. In this thesis, I demonstrate that it is possible to leverage the data replication available in these environments to build a simple yet efficient …
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Analysis of data virtualization & enterprise data standardization in business intelligence
… Intelligence most often needs to correlate data from disparate data sources to derive insights. Unifying data from disparate data sources and providing a unifying view of data is generally known as data integration. Traditionally enterprises employed ETL and data warehouses for data …
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Semi-automated reconstruction of biological networks based on a life science data warehouse
… years leads to a multiplicity of different databases and information systems. Typically, those data is available via the World Wide Web for further investigation. Usually, biological and life science data that describe different aspects of a biological system are distributed and spread over …
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Medication recommendations vs. peer practice in pediatric levothyroxine dosing : a study of collective intelligence from a clinical data warehouse as a potential model for clinical decision support
… in medication dosing patterns. Patient clinical data warehouses (CDW) may be able to bridge the knowledge gap. CDWs contain the collective intelligence of various contributors (i.e. clinicians, administrators, etc.) where each data entry provides information regarding medical care for a patient …
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Epidemiology Experimentation and Simulation Management through Scientific Digital Libraries
Advances in scientific data management, discovery, dissemination, and sharing are changing the manner in which scientific studies are being conducted and repurposed. Data-intensive scientific practices increasingly require data management related services not available in existing digital …
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Ensemble of Feature Selection Techniques for High Dimensional Data
<p>Data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships from large amounts of data stored in databases, data warehouses, or other information repositories. Feature selection is an important preprocessing step of data mining that helps …
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From Data to Knowledge in Secondary Health Care Databases
The advent of big data in health care is a topic receiving increasing attention worldwide. In the UK, over the last decade, the National Health Service (NHS) programme for Information Technology has boosted big data by introducing electronic infrastructures in hospitals and GP practices across the …
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Data warehouse newSQL : uma análise de desempenho explorando estratégias de armazenamento e distribuição
Data Warehouses (DWs) são bancos de dados projetados para favorecer o processamento ana- lítico de grandes volumes de dados. Com o intuito de prover melhor desempenho de armazena- mento e processamento analítico em DWs, sistemas de bancos de dados NewSQL surgem como uma alternativa promissora. Essa …
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Correlation indices : a new access method to exploit correlated attributes
… queries. Unfortunately, this means that data warehouses and other OLAP systems frequently perform sequential scans, unless they can satisfy nearly all of the queries posed to them by a single clustered index [7], or unless they have available specialized data structures - like bitmap …
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Developing Criteria for Extracting Principal Components and Assessing Multiple Significance Tests in Knowledge Discovery Applications
… organizations are able to store large amounts of data in data warehouses. There are two fundamental issues researchers must address: the dimensionality of data and the interpretation of multiple statistical tests. The first issue addressed by this research is the determination of the number of …
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A framework for the explicit use of specific systems thinking methodologies in data-driven decision support system development
Data-driven decision support systems, such as data warehouses, are extremely costly to develop. Forty one per cent of data warehouse development practitioners have experienced project failures. These projects were either completed after exceeding budget and time limits, or not at all. Some …
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