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Data Marts
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing, and Deploying Data Warehouses
In his bestselling book, "The Data Warehouse Toolkit", Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses.
90 Days to the Data Mart
After a brief overview of key concepts and terms, this resource provides a week-by-week action plan for creating a data mart. It guides readers through every phase of the project from planning and defining the project to writing specifications to building and testing the data mart.
Building the Operational Data Store, 2nd Edition
In Building the Data Warehouse, 2nd Edition, Inmon provides detailed discussion and analysis of all major issues related to the design and construction of the data warehouse. He shows how data warehouse solves the problem of getting information out of legacy systems and includes new techniques and applications of data warehouse technology.
Corporate Information Factory, 2nd Edition
The father of the data warehouse incorporates the latest technologies into his blueprint for integrated decision support systems Having invented the corporate information factory (CIF) to help IT and database managers cut through the jungle of information technologies out there, bestselling author Bill Inmon again teams up with experts Claudia Imhoff and Ryan Sousa to show you how to integrate all key components of the modern information system architecture in a way that meets your evolving business needs.
Building the Data Warehouse (3rd edition)
Since it was first published in 1990, W. H. Inmon’s Building the Data Warehouse has become the bible of data warehousing–– the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate information factory.
Understanding and Implementing Successful Data Marts
Understanding and Implementing Successful Data Marts is an accessible, hands-on guide to designing, constructing and implementing data marts. Industry authority Douglas Hackney takes the reader step-by-step through each phase of the data mart development process.
e-Data: Turning Data into Information with Data Warehousing
Reveals what business people should know about data warehouse implementation, as well as techniques for evaluating and justifying new data warehouses and data marts.
Oracle8i Data Warehousing
Explains how to design, develop and administer powerful data warehouses and data marts on Windows NT using Oracle's database. This authoritative guide helps database developers, administrators, and designers master the major new data warehousing and Internet capabilities in Oracle8i and specifically plan and implement affordable and successful data warehouses and data marts.
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
This first systematic and self-contained monograph on "Symbolic Data Analysis" presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data where the entries of a data table are, e. g. , sets of categories or of numbers, intervals or probability distributions. Typical methods include: graphical displays using Zoom Stars, visualization and future extraction by symbolic factor analysis, decision trees, discrimination, classification and clustering methods. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.
Managed Data Marts (PDF download)
Data warehousing architecture, though lacking in glamour, is crucial to planning for successful implementation. This report focuses on the "hub and spoke" architecture that attempts to combine the best elements of data marts and data warehouses while minimizing the disadvantages of both. This approach enables companies to implement data warehousing that spans the enterprise. It utilizes data marts that are close to end-users but also employs a central facility to handle data preparation and management of the application.
Managing Multidimensional Data Marts With Visual Warehouse and DB2 Olap Server
