An Ontological Approach to Handle Multidimensional Schema Evolution for Data Warehouse
M. Thenmozhi, K. Vivekanandan
openalex +1 more source
Data lakes versus data warehouses: choosing the right approach for big data analytics
In the era of big data, organizations face critical decisions when selecting between data lakes and data warehouses to meet their analytics requirements.
Saliha Mezzoudj +2 more
doaj +1 more source
Understanding enterprise data warehouses to support clinical and translational research. [PDF]
Campion TR +3 more
europepmc +1 more source
Data Warehouse Model Design PT. Pos Indonesia
Aisyah Norma Ruslita Batubara +4 more
openalex +2 more sources
Nowadays, modernizing the data warehouse ecosystem is a key challenge in decision support systems. This modernization is crucial for ensuring scalability and meeting evolving business requirements, especially with the advent of big data.
Khadija Letrache, Mohammed Ramdani
doaj +1 more source
In Reply: COVID-19: An Argument for Rapid Access to Laboratory Data Warehouses. [PDF]
Jackups R.
europepmc +1 more source
Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing. [PDF]
europepmc +1 more source
Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse [PDF]
Nicolas Garcelon +4 more
openalex +1 more source
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. [PDF]
Kaspar M +7 more
europepmc +1 more source
Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model
With the development of cloud computing and big data, traditional local data warehouses are difficult to expand and have low data processing efficiency, As a result, the data warehouse of cloud edge architecture comes into being.
GAO Xuning +3 more
doaj +2 more sources

