The extract, transform, and load (ETL) process is at the core of data warehousing
architectures. As such, the success of data warehouse (DW) projects is essentially based on …

With the advancement of technology in data science and network technology, the world has
stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis …

Hydrogen has the potential to make countries energetically self-sufficient and independent
in the long term. Nevertheless, its extreme combustion properties and its capability of …

The use of primary care electronic health records for research is abundant. The benefits
gained from utilising such records lies in their size, longitudinal data collection and data …

The software processes that facilitate the original loading and the periodic refreshment of the
data warehouse contents are commonly known as Extraction-Transformation-Loading (ETL) …

Abstract Extraction–transformation–loading (ETL) tools are pieces of software responsible
for the extraction of data from several sources, its cleansing, customization, reformatting …

Data is the new currency and key to success. However, collecting high-quality data from
multiple distributed sources requires much effort. In addition, there are several other …

The multidimensional (MD) modeling, which is the foundation of data warehouses (DWs),
MD databases, and On-Line Analytical Processing (OLAP) applications, is based on several …

Big Data has become the new ubiquitous term used to describe massive collection of
datasets that are difficult to process using traditional database and software techniques …

Different modeling approaches have been proposed to overcome every design pitfall of
different data warehouse (DW) components. However, most of them offer partial solutions …