Acm Tech Pack on Business Intelligence/data Management Bi/dm Tech Pack Committee

The increasing search for computational solutions to support the decisionmaking led to the development of new technologies that aim to transform the large volume of data in information and knowledge useful. The data warehousing technology emerged with the aim of structuring the data in the best way possible to facilitate its access, making the process more efficient and effective. Along with it, other areas of research evolved and contribute directly or indirectly to achieve this goal, such as: OLAP (on-line analytical processing), data mining, artificial intelligence, knowledge discovery in database and business intelligence. The creation of a data warehouse (DW) involves the choice of architecture. Thus, this article presented a discussion on the origin of the DW architecture based in the information systems architecture proposed by Zachman. Importance: This article presents results from a self-assessment that provides a roadmap for improving data management practices. Technical opinion: Which data warehouse architecture is best? (ACM DL: Free for Members) Thilini Ariyachandra and Hugh J. Watson. 2008. Technical opinion: Which data warehouse architecture is best?. Commun. ACM 51, 10 (October 2008), 146-147. DOI=10.1145/1400181.1400213 http://doi.acm.org/10.1145/1400181.1400213. Abstract: Over the past 15 years, companies have spent billions of dollars on data marts and warehouses. Despite this experience, there is an important design decision that still causes heated discussion: Which data warehouse architecture is best? Importance: This brief article gives a recent perspective on the decades-old debates over data warehousing topology.