Data Warehousing Failures
ثبت نشده
چکیده
منابع مشابه
Justification of Data Warehousing Projects
Project justification is regarded as one of the major methodological deficits in Data Warehousing practice. As reasons for applying inappropriate methods, performing incomplete evaluations, or even entirely omitting justifications, the special nature of Data Warehousing benefits and the large portion of infrastructure-related activities are stated. In this paper, the economic justification of D...
متن کاملAn Empirical Investigation of the Impact of Data Quality and its Antecedents on Data Warehousing
Data warehousing is a topic of great interest in the business community, due to increasing business intelligence demands, coupled with increased data availability and processing capability. Despite large financial backing of data warehousing implementations, many fail. Little research has been conducted pertaining to data warehousing success. Traditional system success models (DeLone and McLean...
متن کاملWarehousing and OLAPing Complex, Spatial and Spatio-Temporal Data
Preface Complex, spatial and spatio-temporal data arise in a plethora of modern database and data mining applications and complex information systems. Complex, spatial and spatio-temporal data require more and more for effective and efficient models, algorithms and techniques for representing, managing, querying , indexing and discovering useful knowledge beyond such kind of data. A successful ...
متن کاملRedundant Array of Inexpensive Nodes for DWS
The DWS (Data Warehouse Striping) technique is a round-robin data partitioning approach especially designed for distributed data warehousing environments. In DWS the fact tables are distributed by an arbitrary number of low-cost computers and the queries are executed in parallel by all the computers, guarantying a nearly optimal speed up and scale up. However, the use of a large number of inexp...
متن کاملOrganization of data warehousing in large service companies -A matrix approach based on data ownership and competence centers
Most work on data warehousing is dominated by architectural and data modeling issues. Although often key to the success of data warehousing projects, organizational issues are rarely covered. Based on project experiences in several large service companies, organizational requirements for data warehousing are derived. As a foundation for the development of organizational structures and organizat...
متن کامل