Data Warehousing: A Practical Managerial Approach
نویسندگان
چکیده
منابع مشابه
Integration of Data Mining and Data Warehousing: A Practical Methodology
The ever growing repository of data in all fields poses new challenges to the modern analytical systems. Real-world datasets, with mixed numeric and nominal variables, are difficult to analyze and require effective visual exploration that conveys semantic relationships of data. Traditional data mining techniques such as clustering clusters only the numeric data. Little research has been carried...
متن کاملCommunity Health Assessments: A Data Warehousing Approach
The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Community Health (CATCH) methodology provides a systematic framework for community-level assessment that can be a valuable tool for resource allocation and health care policy formulation. CATCH utilizes health status indicat...
متن کاملX-Warehousing: An XML-Based Approach for Warehousing Complex Data
XML is suitable for structuring complex data coming from different sources and supported by heterogeneous formats. It allows a flexible formalism capable to represent and store different types of data. Therefore, the importance of integrating XML documents in data warehouses is becoming increasingly high. In this paper, we propose an XMLbased methodology, named X-Warehousing, which designs ware...
متن کاملUniversal Data Warehousing Based on a Meta-Data Modeling Approach
s – Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems(DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata ...
متن کاملInvestigating a heterogeneous data integration approach for data warehousing
Data warehouses integrate data from remote, heterogeneous, autonomous data sources into a materialised central database. The heterogeneity of these data sources has two aspects, data expressed in different data models, called model heterogeneity, and data expressed within different schemas of the same data model, called schema heterogeneity. AutoMed is an approach to heterogeneous data transfor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Science and Information Technology
سال: 2017
ISSN: 2331-6063,2331-6071
DOI: 10.13189/csit.2017.050103