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 …

Big data management for information centralization (ie making data of interest findable) and
integration (ie making related data connectable) in health research is a defining challenge in …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

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) …

In the last fifty years the world has been completely transformed through the use of IT. We
have now reached a new inflection point. This book presents, for the first time, how in …

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

Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the
decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) …

Business Intelligence (BI) refers to technologies, tools, and practices for collecting,
integrating, analyzing, and presenting large volumes of information to enable better decision …

The enormous volumes of data created and maintained by industries, research institutions
are on the verge of outgrowing its infrastructure. The advancements in the organization's …