Results 291 to 300 of about 619,082 (337)
Some of the next articles are maybe not open access.
2006
The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors.
Lam, A +4 more
openaire +2 more sources
The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors.
Lam, A +4 more
openaire +2 more sources
Data Warehouses Federation as a Single Data Warehouse
2016In this paper author presents an experiment, which shows that it is possible to form a federation of data warehouses that may simulate effectively one, “super” data warehouse. There is no need to create complete ETL tool to load data from source data warehouses into one, dedicated data warehouse.
openaire +2 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
openaire +2 more sources
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
International Journal of Data Warehousing and Mining, 2014
This paper presents the idea of deductive data warehouses. Deductive data warehouses rely on deductive databases but instead of a database in the background a data warehouse is used. The authors show how Datalog (as a logic programming language) can be used to perform OLAP analysis on data.
openaire +1 more source
This paper presents the idea of deductive data warehouses. Deductive data warehouses rely on deductive databases but instead of a database in the background a data warehouse is used. The authors show how Datalog (as a logic programming language) can be used to perform OLAP analysis on data.
openaire +1 more source
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
openaire +2 more sources
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
2017
The fewer data needed, the better the information. And an overload of information…leads to information blackout.
openaire +2 more sources
The fewer data needed, the better the information. And an overload of information…leads to information blackout.
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
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.
openaire +1 more source
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
Schema Evolution in Data Warehouses
Knowledge and Information Systems, 2002In this paper, we address the issues related to the evolution and maintenance of data warehousing systems, when underlying data sources change their schema capabilities. These changes can invalidate views at the data warehousing system. We present an approach for dynamically adapting views according to schema changes arising on source relations.
openaire +4 more sources