Results 241 to 250 of about 23,631,400 (298)

Robust integrated multi-modal network design for green petroleum distribution under uncertainty. [PDF]

Sci Rep
Aghaei M, Alinaghian M, Goli A.
europepmc   +1 more source

Hermetic Storage as a Chemical-Free Alternative for Millet Preservation in Niger. [PDF]

Insects
Bawa HYD, Baoua IB, Rabé MM, Baributsa D.   +3 more
europepmc   +1 more source

Terrorist Attacks on the Mining Sector: A Counter-Terrorism Medicine Analysis. [PDF]

Disaster Med Public Health Prep
Athni TS, Tin D, Ciottone GR.
europepmc   +1 more source

State Migration in Styx: Towards Serverless Transactional Functions. [PDF]

VLDB J
Psarakis K, Christodoulou G, Siachamis G, Fragkoulis M, Katsifodimos A.   +4 more
europepmc   +1 more source

Fundamentals of Data Warehouses

, 2000
This book presents the first comparative review of the state-of-the-art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of
Jarke Matthias, LENZERINI, Maurizio, Vassiliou Yannis, Vassiliadis Panos   +3 more
openaire   +2 more sources

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Data Warehouses: Next Challenges

Lecture Notes in Business Information Processing, 2012
Data 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.
Alejandro Vaisman, Esteban Zimanyi
exaly   +3 more sources

Minimizing detail data in data warehouses

, 1998
Data warehouses collect and maintain large amounts of data from several distributed and heterogeneous data sources. Because of security reasons, operational requirements, and technical feasibility it is often impossible for data warehouses to access the data sources directly.
Akinde, M., Jensen, Ole Guttorm, Böhlen, M.   +2 more
openaire   +3 more sources

Querying Multiversion Data Warehouses

, 2015
Data 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   +4 more sources

Data Warehouse Testing

International Journal of Data Warehousing and Mining, 2011
Testing is an essential part of the design life-cycle of a software product. Although most phases of data warehouse design have received considerable attention in the literature, not much research has been conducted concerning data warehouse testing. In this paper, the authors introduce a number of data mart-specific testing activities, classify them ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
openaire   +1 more source