Data Warehouses and Olap: Concepts, Architectures and Solutions by : Robert Wrembel
IGI Global | 332 Pages | 2006-12-11 | ISBN 1599043645 | PDF | 7 MB
Data warehouses and online analytical processing (OLAP) are emerging key technologies for enterprise decision support systems. They provide sophisticated technologies from data integration, data collection and retrieval, query optimization, and data analysis to advanced user interfaces. New research and technological achievements in the area of data warehousing are implemented in commercial database management systems, and organizations are developing data warehouse systems into their information system infrastructures. Data Warehouses and OLAP: Concepts, Architectures and Solutions covers a wide range of technical, technological, and research issues. It provides theoretical frameworks, presents challenges and their possible solutions, and examines the latest empirical research findings in the area. It is a resource of possible solutions and technologies that can be applied when designing, implementing, and deploying a data warehouse, and assists in the dissemination of knowledge in this field.
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Springer; 1 edition (November 14, 2008)
PDF | 382pages | English | ISBN: 0387874305 | 8.17Mb(rar)
New Trends in Data Warehousing and Data Analysis/by Stanislaw Kozielski (Editor), Robert Wrembel (Editor).Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple heterogeneous, autonomous, and distributed data sources within an enterprise. Secondly, to provide a platform for advanced, complex, and efficient data analysis. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed among others for discovering trends, patterns of behavior, and anomalies as well as for finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data that more and more often come from WEB-based, XML-based, spatio-temporal, object, and multimedia systems, make data integration and processing challenging.
The objective of NEW TRENDS IN DATA WAREHOUSING AND DATA ANALYSIS is fourfold: First, to bring together the most recent research and practical achievements in the DW and OLAP technologies. Second, to open and discuss new, just emerging areas of further development. Third, to provide the up-to-date bibliography of published works and the resource of research achievements for anyone interested in up-to-date data warehouse issues. And, finally, to assist in the dissemination of knowledge in the field of advanced DW and OLAP.
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Djoni Darmawikarta, "Dimensional Data Warehousing with MySQL: A Tutorial"
BrainySoftware | ISBN 0975212826 | April 1, 2007 | 423 Pages | PDF | 4.2 MB
Data warehousing with MySQL, a free and popular database, has never been made easier with this step-by-step tutorial on building dimensional data warehouses. Topics include star-schema modeling, populating (Extract, Transform, and Load: ETL), testing, and dimensional querying. It comes complete with a hands-on case—scaled-down from a real project—as well as an electronic copy of all MySQL scripts and sample data available for download. Computer programmers who need to build a data warehouse will find relevant examples and information written in a thorough, easy-to-follow style.
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Wiley | ISBN 0471919217 | PDF | 2007 | 386 pages | 7,8 MB on Rapidshare
Data warehouses are the core technology that businesses use to capture, store, and analyze vast amounts of business data, and Oracle has emerged as the leading database platform. Its business intelligence tools make it considerably easier to analyze data to support marketing, sales, and other initiatives. Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools.
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