Multidimensional databases and data warehousing
By: Christian S. Jensen, Torben Bach Pedersen, Christian Thomsen
Contributors: Pedersen, Torben Bach; Thomsen, Christian, 1979-
Series: Synthesis lectures on data management -- # 9
Publisher: Morgan & Claypool; Morgan & Claypool Publishers
Published: 2010
Place of publication: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Language: eng
Format: [electronic resource] /
Number of pages: 95
ISBN-13: 9781608455386; 9781608455379
Subjects: Data warehousing; Multidimensional databases
Other titles: Synthesis digital library of engineering and computer science.
Description: The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes data cubes and their elements, such as dimensions, facts, and measures and their representation in a relational setting; it includes architecture-related concepts; and it includes the querying of multidimensional databases. The book also covers advanced multidimensional concepts that are considered to be particularly important. This coverage includes advanced dimension-related concepts such as slowly changing dimensions, degenerate and junk dimensions, outriggers, parent-child hierarchies, and unbalanced, non-covering, and non-strict hierarchies. The book offers a principled overview of key implementation techniques that are particularly important to multidimensional databases, including materialized views, bitmap indices, join indices, and star join processing. The book ends with a chapter that presents the literature on which the book is based and offers further readings for those readers who wish to engage in more in-depth study of specific aspects of the book's subject.
Notes: Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 83-90) and index.

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Also available in print.

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Table of contents: title: 1. Introduction; title: Multidimensional data management; title: Multidimensional history; title: Related terminology; title: Shortcomings of spreadsheets and relations; title: OLAP versus OLTP; title: 2. Fundamental concepts; title: Cubes; title: Dimensions; title: Facts; title: Measures; title: Relational representations; title: Star schemas; title: Snowflake schemas; title: Data warehouses and data marts; title: Multidimensional modeling processes; title: Analysis and querying; title: Roll-up, drill-down, and drill-out; title: Slicing and dicing; title: Drill-across; title: Pivot tables; title: Ranking; title: Multidimensional querying in MDX and SQL; title: Graphical querying and visualisations; title: Summarizing example; title: Exercises; title: 3. Advanced concepts; title: Slowly changing dimensions; title: The problem; title: Solutions; title: Other special kinds of dimensions; title: Minidimensions; title: Outriggers; title: Degenerate dimensions; title: Junk dimensions; title: Time dimensions; title: Data quality dimensions; title: Advanced hierarchies; title: Parent-child hierarchies; title: Unbalanced hierarchies; title: Non-covering hierarchies; title: Non-strict hierarchies; title: Multiple hierarchies and parallel hierarchies; title: Summarizability; title: Summarizing example; title: Exercises; title: 4. Implementation issues; title: Materialized views; title: Indexing; title: Indexing overview; title: Bitmap indices; title: Join indices; title: Query processing; title: OLAP implementations; title: Extract-transform-load; title: Exercises; title: 5. Further readings; title: Background readings; title: Advanced topics; title: Software resources; title: References; title: Authors' biographies; title: Index.