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Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The RDBMS used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.
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*Reviews planning and designing architecture and implementing the data warehouse.
*Includes discussions on how and why to apply IBM tools.
*Offers tips, tricks, and workarounds to ensure maximum performance.
*Companion Web site includes technical notes, product updates, corrections, and links to relevant material and training.
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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 informatio... |
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*Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
*Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
*Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loa... |
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This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations... |
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Single most authoritative guide from the inventor of the technique.
*Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance.
*Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.
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The data warehousing bible updated for the new millennium
Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requiremen... |
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*This is the first book to provide in-depth coverage of star schema aggregates used in dimensional modeling-from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects
*Covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and building aggregates
*Discusses how to include aggregates in data warehouse development projects that focus on incremental development, i... |
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The complete guide to building tomorrow's CRM-focused data warehouses. A complete methodology for building CRM-focused data warehouses Planning, ROI, conceptual and logical models, physical implementation, project management, and beyond For database developers, architects, consultants, project managers, and decision-makers Today's next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work... |
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*A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
*Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
*Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
*Weighs the pros and cons of relational v... |
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