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LOD for Data Warehouses: Managing the Ecosystem Co-Evolution
Information, 2018 For more than 30 years, data warehouses (DWs) have attracted particular interest both in practice and in research. This success is explained by their ability to adapt to their evolving environment.
Selma Khouri, Ladjel Bellatreche
doaj +1 more source
Data warehouse on Manpower Employment for Decision Support System [PDF]
Int'l Journal of Computing, Communications & Instrumentation Engg.
(IJCCIE) Vol. 1, Issue 1 (2014) ISSN 2349-1469 EISSN 2349-1477, 2019 Since the use of computers in the business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in the database. The database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size
arxiv
A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses
Proceedings of the VLDB Endowment, 2009 Conventional data warehouses employ the query-at-a-time model, which maps each query to a distinct physical plan. When several queries execute concurrently, this model introduces contention, because the physical plans---unaware of each other---compete ...
George Candea +2 more
semanticscholar +1 more source
Demonstrating the Value of Data Warehouses [PDF]
, 2005 The Department of Health Policy hosted a Professional Collaboration Day on June 14, 2005. The following is a summary of the morning session, hosted by GE Healthcare, which focused on Demonstrating the Value of Data ...
core +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT During the COVID‐19 pandemic, disruptions to finances and relationships were significant. Analysing Australian longitudinal survey data from May 2020 and August 2021, this study examines the Family Stress Model, which posits that financial stress influences relational dynamics within households.
Azadeh Abbasi Shavazi +2 more
wiley +1 more source
Annals of Neurology, EarlyView.Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley +1 more source
Harvesting Information from a Library Data Warehouse
Information Technology and Libraries, 2017 Data warehousing technology has been defined by John Ladley as "a set of methods, techniques, and tools that are leveraged together and used to produce a vehicle that delivers data to end users on an integrated platform." (1) This concept h s been ...
Siew-Phek T. Su, Ashwin Needamangala
doaj +1 more source
DWEB: A Data Warehouse Engineering Benchmark [PDF]
LNCS, Vol. 3589 (08/2005) 85-94, 2007 Data warehouse architectural choices and optimization techniques are critical to decision support query performance. To facilitate these choices, the performance of the designed data warehouse must be assessed. This is usually done with the help of benchmarks, which can either help system users comparing the performances of different systems, or help ...
arxiv
A Survey of Parallel and Distributed Data Warehouses
Integrations of Data Warehousing, Data Mining and Database Technologies, 2009 Data Warehouses are a crucial technology for current competitive organizations in the globalized world. Size, speed and distributed operation are major challenges concerning those systems.
P. Furtado
semanticscholar +1 more source
A general multivariate latent growth model with applications in student careers Data warehouses
, 2009 The evaluation of the formative process in the University system has been assuming an ever increasing importance in the European countries. Within this context the analysis of student performance and capabilities plays a fundamental role. In this work we
Bartholomew D. J. +6 more
core +1 more source