Results 51 to 60 of about 35,828 (278)

XWeB: the XML Warehouse Benchmark

, 2010
With the emergence of XML as a standard for representing business data, new decision support applications are being developed. These XML data warehouses aim at supporting On-Line Analytical Processing (OLAP) operations that manipulate irregular XML data.
A. Schmidt, A. Simitsis, C. Kit, J. Darmont, J. Gray, K. Runapongsa, L. Afanasiev, L. Wyatt, P. O’Neil, R. Kimball, R. Torlone, S. Bressan, S. Rizzi, T. Böhme   +13 more
core   +2 more sources

NOSQL design for analytical workloads: Variability matters [PDF]

, 2016
Big Data has recently gained popularity and has strongly questioned relational databases as universal storage systems, especially in the presence of analytical workloads.
Abelló Gamazo, Alberto, Herrero Otal, Víctor, Romero Moral, Óscar   +2 more
core   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Meta-Modeling of Big Data visualization layer using On-Line Analytical Processing (OLAP)

International Journal of Advanced Trends in Computer Science and Engineering, 2019
Big data is about collecting, storing, managing, processing massive quantities of daa, but it is also about presenting various insights into the collected data through visualization.
Allae Erraissi
semanticscholar   +1 more source

Causes of the Abnormally Strong Easterly Phase of the Mesopause Semiannual Oscillation During the March Equinox of 2023 Revealed by a New Reanalysis Data Covering the Entire Middle Atmosphere

Geophysical Research Letters, Volume 52, Issue 7, 16 April 2025.
Abstract During the March equinox of 2023, a strong easterly wind of ∼80 m s−1 appeared at an altitude of ∼82 km in the equatorial upper mesosphere, which is regarded as an enhancement of the mesopause semi‐annual oscillation. In this study, a new reanalysis data available up to 110 km was used to investigate its momentum budget.
Kaoru Sato, Dai Koshin, Jose Suclupe, Jorge L. Chau, Lourivaldo M. Lima, Guozhu Li, S. Vijaya Bhaskara Rao, M. Venkat Ratnam, Rodolfo Rodriguez, Danny Scipion   +9 more
wiley   +1 more source

Development of Data Warehouse for Financial Report in Faculty of Science, Naresuan University

วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2022
Data warehouse technology is useful for managing large data. The purpose of them are analyzing organization’s datasets to formulate a strategy and direction of the organization. In this paper have present method of the development of data warehouse based
Kittipong Songsiri, Kreangsak Tamee
doaj   +1 more source

Optimistic Multigranulation Roughness of Spherical Fuzzy Set Based on Soft Binary Relations and Its Applications to Multicriteria Decision‐Making Problems

Journal of Function Spaces, Volume 2025, Issue 1, 2025.
A multigranulation roughness over dual universes establishes a unique viewpoint on the mixture of multigranulation data. Spherical fuzzy set is an extension of all existing theories such as fuzzy set, pythagorean fuzzy set, intuitionistic fuzzy set, and picture fuzzy set.
Rabia Mazhar, Shahida Bashir, Muhammad Shabir, Mohammed Al-Shamiri, Bilal Bilalov   +4 more
wiley   +1 more source

Integrating OLAP with NoSQL Databases in Big Data Environments: Systematic Mapping

Big Data and Cognitive Computing
The growing importance of data analytics is leading to a shift in data management strategy at many companies, moving away from simple data storage towards adopting Online Analytical Processing (OLAP) query analysis.
Diana Martinez-Mosquera, Rosa Navarrete, Sergio Luján-Mora, Lorena Recalde, Andres Andrade-Cabrera   +4 more
doaj   +1 more source

Evaluation of the state of the Business Intelligence among small Czech farms

Agricultural Economics (AGRICECON), 2015
Business Intelligence (BI) can assist in agricultural enterprises to strengthen their production potential and technical efficiency due to its effective support to the managerial, analytical, planning, and decision-making activities of managers and ...
Jan TYRYCHTR, Miloš ULMAN, Václav VOSTROVSKÝ   +2 more
doaj   +1 more source

Enhanced calendar support for temporal datacube queries

Transactions in GIS, Volume 28, Issue 7, Page 2089-2112, November 2024.
Abstract A significant share of our data are timeseries. Time can occur as the single dimension, or further (such as spatial) dimensions can be present as well, leading to multidimensional data such as 3D x/y/t satellite image timeseries or 4D x/y/z/t atmospheric simulations like weather forecasts.
Peter Baumann, Bang Pham Huu, Dimitar Misev, Vlad Merticariu   +3 more
wiley   +1 more source