Nicolas Bruno

Automated Physical Database Design and Tuning (eBook, PDF)

• Format: PDF

Produktbeschreibung

Due to the increasing complexity in application workloads and query engines, database administrators are turning to automated tuning tools that systematically explore the space of physical design alternatives. A critical element of such tuning is physical database design since the choice of physical structures has a significant impact on the perfor

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 253
• Erscheinungstermin: 7. Februar 2011
• Englisch
• ISBN-13: 9781439815687
• Artikelnr.: 39164936

Autorenporträt

Nicolas Bruno is a researcher in the Data Management, Exploration and Mining group at Microsoft Research. He earned his Ph.D. in computer science from Columbia University. Dr. Bruno's research interests include physical database design, query processing and optimization, and database testing.

Inhaltsangabe

BACKGROUND: Declarative Query Processing in Relational Database Systems.
Query Optimization in Relational Database Systems. Physical Database
Design. AUTOMATED PHYSICAL DATABASE DESIGN: Characterizing the Search
Space. Designing a Cost Model. Enumerating the Search Space. Practical
Aspects in Physical Database Design. ADVANCED TOPICS: Handling Materialized
Views. Incorporating Other Physical Structures. Continuous Physical
Database Design. Constrained Physical Database Design. New Challenges in
Physical Database Design. Index.