IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Extraction, Transformation, and Loading Processes

Extraction, Transformation, and Loading Processes
View Sample PDF
Author(s): Jovanka Adzic (Telecom Italia, Italy), Fiore Valter (Telecom Italia, Italy) and Luisella Sisto (Telecom Italia, Italy)
Copyright: 2009
Pages: 19
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch048

Purchase

View Extraction, Transformation, and Loading Processes on the publisher's website for pricing and purchasing information.

Abstract

ETL stands for extraction, transformation, and loading, in other words, for the data warehouse (DW) backstage. The main focus of our exposition here is the practical application of the ETL process in real world cases with extra problems and strong requirements, particularly performance issues related to population of large data warehouses. In a context of ETL/DW with strong requirements, we can individuate the most common constraints and criticalities that one can meet in developing an ETL system. We will describe some techniques related to the physical database design, pipelining, and parallelism which are crucial for the whole ETL process. We will propose our practical approach, “infrastructure based ETL”; it is not a tool but a set of functionalities or services that experience has proved to be useful and widespread enough in the ETL scenario, and one can build the application on top of it.

Related Content

. © 2019. 19 pages.
. © 2019. 44 pages.
. © 2019. 23 pages.
. © 2019. 18 pages.
. © 2019. 11 pages.
. © 2019. 18 pages.
. © 2019. 31 pages.
Body Bottom