Data Warehouses
Abstract: In Traditional environments, there are many advantages of distributed data warehouses. Distributed
... Data Warehouses (DWs) are usually built by centrally coordinated ...Basically, Data warehouse is a database which stores large amount of ...data. Data warehouse store current as well as ...
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Reliability Design for Large Scale Data Warehouses
... Abstract—Data reliability has been drawn much concern in large-scale data warehouses with 1PB or more data. It highly depends on many inter-dependent system parameters, such as the replica ...
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Multidimensional Design Paradigms for Data Warehouses: A Systematic Mapping Study
... Data warehouses (DW) are a collection of an organiza- tion’s historical data of any ...historical data are analyzed by the decision-makers by converting the data into strategic ...
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The design of a Delta Impact analysis model for data warehouses
... the data- should be ...the data structure of a system that do not influence the ...the data warehouse are impacted by these modifications and how the data warehouse should be adjusted to cope ...
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The Near-Greedy Algorithm for Views Selection in Data Warehouses and its Performance Guarantees
... In data warehouses, views or summaries can be materialized to obtain better performance. In this paper, the near greedy algorithm for views selection is proposed. It is a generalization of the greedy ...
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Handling Big Dimensions in Distributed Data Warehouses using the DWS Technique
... big data warehouses ...a data warehousing as the parallelism is used to improve performance through parallel implementation of the various operations of the query execution ...complex data ...
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Storage Layout and I/O Performance in Data Warehouses
... the data placement problem in data warehouses and com- pared alternative storage ...a data warehouse, the easiest and usually the best-performing physical layout is to stripe all data ...
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Modeling and Querying Multidimensional Bitemporal Data Warehouses
... Data warehouses store historical data, and therefore could clearly benefit from the research on temporal ...Temporal data warehouses join the two fields of temporal databases and ...
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How Does the Spatial Data Redundancy Affect Query Performance in Geographic Data Warehouses?
... Geographic Data Warehouses (GDWs) are traditional data warehouses with spatial attributes that are used for defining spatial dimension tables, spatial measures and spatial ...spatial ...
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A Proposal of Methodology for Designing Big Data Warehouses
... Big Data warehouses are a new class of databases that largely use unstructured and volatile data for analytical ...of data sources are those coming from the Web, such as social networks and ...
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A Model Driven Architecture Approach to Generate Multidimensional Schemas of Data Warehouses
... of data warehousing has been widely ...building data warehouses is to improve the quality of information in order to achieve specific business objectives such as competitive advantage or improved ...
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Dynamic Query Scheduling in Parallel Data Warehouses
... extensive data redistribution too costly in a large data ...on data partitioning and allocation [7, 15, 17] or on limiting disk contention through reduced parallelism ...
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Dimension- Join - A New Index For Data Warehouses
... There are several auxiliary pre-computed access structures that allow faster answers by reading less base data. Examples are materialized views, join indexes, B-tree and bitmap indexes. This paper proposes ...
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Building Con?ict Aware Profiling Ontology from Data Warehouses
... in data warehousing, shown by table 1, reveals an exclusive exploration of individual analysts’ profiles which are semantically poor and overlook the conflict of interest embodied in the generated sub-schema ...
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Securing Data Warehouses: A Semi-automatic Approach for Inference Prevention at the Design Level
... Abstract. Data warehouses contain sensitive data that must be secured in two ways: by defining appropriate access rights to the users and by preventing potential data ...a data ...
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Approximation of OLAP queries on data warehouses
... between data warehouses with edit operations adapted for data ...OLAP data exchange, we study how to sample each source and combine the samples to approximate any OLAP ...a data ...
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CMG s approach to application managed services on SAS data warehouses. Jan Willem Sijthoff
... Now that I have given you an insight on the experience we have with SAS data warehouses I would like to start with the second part of my framework by explaining you what Application Managed Services, in our ...
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YarcData's urika Shows Big Data Is More Than Hadoop and Data Warehouses
... in data warehouses to extract BI with the mature and powerful tools available for those purposes, another copy pumped into a Hadoop-style cluster for very large scale inquiries, and yet a third copy ...
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Bridging the Knowledge Gap between Transactional Databases and Data Warehouses
... academic data warehouse coverage, an analysis was performed on the course descriptions of 103 representative under- graduate information systems programs in the ...the data design and man- agement courses ...
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Dynamic index selection in data warehouses
... on data warehouses are complex and use several join operations that are very costly, especially when run on very large data ...times, data warehouse administrators casually use indexing ...for ...
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