Results 251 to 260 of about 271,268 (295)
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Data warehouse clustering on the web
European Journal of Operational Research, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aristides Triantafillakis +2 more
openaire +4 more sources
2008
It is estimated that about 80% of the data stored in databases has a spatial or location component. Therefore, the location dimension has been widely used in data warehouse and OLAP systems. However, this dimension is usually represented in an alphanumeric, nonspatial manner (i.e., using solely the place name) since these systems are not able to ...
Esteban Zimányi, Elzbieta Malinowski
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It is estimated that about 80% of the data stored in databases has a spatial or location component. Therefore, the location dimension has been widely used in data warehouse and OLAP systems. However, this dimension is usually represented in an alphanumeric, nonspatial manner (i.e., using solely the place name) since these systems are not able to ...
Esteban Zimányi, Elzbieta Malinowski
openaire +2 more sources
2012
SQL Server Integration Services is an excellent all-purpose ETL tool. Because of its versatility, it is used by DBAs, developers, BI professionals, and even business principals in many different scenarios. Sometimes it’s a dump truck, used for the wholesale movement of enormous amounts of data.
Andy Leonard +4 more
openaire +2 more sources
SQL Server Integration Services is an excellent all-purpose ETL tool. Because of its versatility, it is used by DBAs, developers, BI professionals, and even business principals in many different scenarios. Sometimes it’s a dump truck, used for the wholesale movement of enormous amounts of data.
Andy Leonard +4 more
openaire +2 more sources
Contextualizing data warehouses with documents
Decision Support Systems, 2008Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a ...
Pérez Martínez, Juan Manuel +3 more
openaire +2 more sources
2014
This chapter introduces the basic concepts of data warehouses. A data warehouse is a particular database targeted toward decision support. It takes data from various operational databases and other data sources and transforms it into new structures that fit better for the task of performing business analysis.
Alejandro Vaisman, Esteban Zimányi
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This chapter introduces the basic concepts of data warehouses. A data warehouse is a particular database targeted toward decision support. It takes data from various operational databases and other data sources and transforms it into new structures that fit better for the task of performing business analysis.
Alejandro Vaisman, Esteban Zimányi
openaire +2 more sources
2005
Data warehouses (DW) appeared first in industry in the mid 1980s. When their impact on businesses and database practices became clear, a flurry or research took place in academia in the late 1980s and 1990s. However, the concept of DW still remains rooted on its practical origins.
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Data warehouses (DW) appeared first in industry in the mid 1980s. When their impact on businesses and database practices became clear, a flurry or research took place in academia in the late 1980s and 1990s. However, the concept of DW still remains rooted on its practical origins.
openaire +1 more source
2017
The fewer data needed, the better the information. And an overload of information…leads to information blackout.
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The fewer data needed, the better the information. And an overload of information…leads to information blackout.
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Designing Secure Data Warehouses
2006Organizations depend increasingly on information systems, which rely upon databases and data warehouses (DWs), which need increasingly more quality and security. Generally, we have to deal with sensitive information such as the diagnosis made on a patient or even personal beliefs or other sensitive data.
Rodolfo Villarroel +3 more
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Data Quality in Data Warehouses
2005Fayyad and Uthursamy (2002) have stated that the majority of the work (representing months or years) in creating a data warehouse is in cleaning up duplicates and resolving other anomalies. This article provides an overview of two methods for improving quality. The first is data cleaning for finding duplicates within files or across files.
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2019
This chapter presents the concept of “deductive data warehouses.” Deductive data warehouses rely on deductive databases but use a data warehouse in the background instead of a database. The authors show how Datalog, as a logic programming language, can be used to perform on-line analytical processing (OLAP) analysis on data.
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This chapter presents the concept of “deductive data warehouses.” Deductive data warehouses rely on deductive databases but use a data warehouse in the background instead of a database. The authors show how Datalog, as a logic programming language, can be used to perform on-line analytical processing (OLAP) analysis on data.
openaire +1 more source