Results 261 to 270 of about 23,694,558 (297)
Some of the next articles are maybe not open access.
Data Warehouses: Next Challenges
2012Data Warehouses are a fundamental component of today’s Business Intelligence infrastructure. They allow to consolidate heterogeneous data from distributed data stores and transform it into strategic indicators for decision making. In this tutorial we give an overview of current state of the art and point out to next challenges in the area.
Vaisman, Alejandro Ariel +1 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 ...
Juan Manuel Pérez-Martínez +3 more
openaire +1 more source
Querying Multiversion Data Warehouses
2015Data warehouses (DWs) change in their content and structure due to changes in the feeding sources, business requirements, the modeled reality, and legislation, to name a few. Keeping the history of changes in the content and structure of a DW enables the user to analyze the state of the business world retrospectively or prospectively. Multiversion data
Waqas, Ahmed, Zimanyi, Esteban
openaire +3 more sources
From Data Warehouse to Information Warehouse
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018Data and information are different constructs and Data become information when they supply a content from several elements, generating thus a meaning. From this observation, in this paper, we introduce the paradigm of information warehousing and explain our motivation. We propose a generic and original information warehouse architecture for the storage
Hadjer Moulai, Habiba Drias
openaire +2 more sources
Knowledge discovery in data warehouses
ACM SIGMOD Record, 2000As the size of data warehouses increase to several hundreds of gigabytes or terabytes, the need for methods and tools that will automate the process of knowledge extraction, or guide the user to subsets of the dataset that are of particular interest, is becoming prominent.
openaire +3 more sources
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.
openaire +1 more source
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
Research on design and optimization of green warehouse system based on case analysis
Journal of Cleaner Production, 2023Peng Wu, Yaoyao Ku
exaly
Research on warehouse operation: A comprehensive review
European Journal of Operational Research, 2007Marc Goetschalckx +2 more
exaly
Research on warehouse design and performance evaluation: A comprehensive review
European Journal of Operational Research, 2010Marc Goetschalckx +2 more
exaly