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Informationen zum Autor David Taniar, PhD, lectures in information technology at Monash University, Australia. Dr. Taniar has published extensively in the field of high- performance parallel databases and is the Editor in Chief of the International Journal of Data Warehousing and Mining. Clement H. C. Leung, PhD, is Foundation Chair in Computer Science at Victoria University, Australia. Dr. Leung previously held the Established Chair in Computer Science at the University of London. Wenny Rahayu, PhD, is Associate Professor at La Trobe University, Australia, and actively works in the areas of database design and implementation, covering object-relational databases and Web databases. Sushant Goel, PhD, is a software consultant and holds a PhD in computer systems engineering from RMIT University, Australia. His research interests are in grid transaction management and software development processes, such as agile computing. Klappentext The latest techniques and principles of parallel and grid database processingThe growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions.High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels. Zusammenfassung High Performance Parallel Database Processing and Grid Databases targets the theoretical/conceptual details needed to form a base of understanding and then delivers information on development, implementations, and analytical modeling of parallel databases. This includes key information on new developments with grid databases. Inhaltsverzeichnis Preface xv Part I Introduction 1. Introduction 3 1.1. A Brief Overview: Parallel Databases and Grid Databases 4 1.2. Parallel Query Processing: Motivations 5 1.3. Parallel Query Processing: Objectives 7 1.3.1. Speed Up 7 1.3.2. Scale Up 8 1.3.3. Parallel Obstacles 10 1.4. Forms of Parallelism 12 1.4.1. Interquery Parallelism 13 1.4.2. Intraquery Parallelism 14 1.4.3. Intraoperation Parallelism 15 1.4.4. Interoperation Parallelism 15 1.4.5. Mixed Parallelism-A More Practical Solution 18 1.5. Parallel Database Architectures 19 1.5.1. Shared-Memory and Shared-Disk Architectures 20 1.5.2. Shared-Nothing Architecture 22 1.5.3. Shared-Something Architecture 23 1.5.4. Interconnection Networks 24 1.6. Grid Database Architecture 26 1.7. Structure of this Book 29 1.8. Summary 30 1.9. Bibliographical Notes 30 1.10. Exercises 31 2. Analytical Models 33 2.1. Cost Models 33 2.2. Cost Notations 34 2.2.1. Data Parameters 34 2.2.2. Systems Parameters 36 2.2.3. Query Parameters 37 2.2.4. Time Unit Costs 37 2.2.5. Communication Costs 38 2.3. Skew Model 39 2.4. Basic Operations in Parallel Databases 43 2.4.1. Disk Operations 44 2.4.2. Main Memory Operations 45 2.4.3. Data Computation and Data Distribution 45 2.5. Summary 47 ...
Sommario
PART I: INTRODUCTION.
Chapter 1: Introduction.
Chapter 2: Analytical Models.
PART II: BASIC QUERY PARALLELISM.
Chapter 3: Parallel Search.
Chapter 4: Parallel Sort and Group-By.
Chapter 5: Parallel Join.
PART III: ADVANCED PARALLEL QUERY PROCESSING.
Chapter 6: Parallel GroupBy-Join .
Chapter 7: Parallel Indexing.
Chapter 8: Parallel Universal Quantification ? Collection Join Queries.
Chapter 9: Parallel Query Scheduling and Optimization.
PART IV: GRID DATABASES.
Chapter 10: Transactions in Distributed and Grid Databases.
Chapter 11: Grid Concurrency Control.
Chapter 12: Grid Transaction Atomicity and Durability.
Chapter 13: Replica Management in Grids.
Chapter 14: Grid Atomic Commitment in Replicated Data.
PART V: OTHER DATA INTENSIVE APPLICATIONS.
Chapter 15: Parallel Online Analytic Processing (OLAP) and Business Intelligence.
Chapter 16: Parallel Data Mining - Association Rules and Sequential Patterns.
Chapter 17: Parallel Clustering and Classification.
04701268923ENAcknowledgments.
The Titans and the Players.
Remarks from M&A Titans and Players.
Introduction.
Chapter 1. Genesis: Wall Street, its Business and Culture.
Chapter 2. Godfathers - Flom and Lipton.
Chapter 3. Seducers - Harris and Rohatyn.
Chapter 4. Systematizer - Goldman Sachs.
Chapter 5. Originators - Morgan Stanley.
Chapter 6. Attack or defend.
Chapter 7. An Accountant, Feuds and the Wasserstein discovery.
Chapter 8. The Cult of Greenhill, California.
Chapter 9. Stovepipes.
Chapter 10. Fall and Rise.
Chapter 11. ``The Genius Franchise''.
Chapter 12. Stagnation and Implosion.
Chapter 13. The Rise of Drexel.
Chapter 14. Crime and Punishment.
Chapter 15. A Voice in the Wilderness.
Chapter 16. Intrigue and Resignations.
Chapter 17. New Horizons.
Notes.
References.
About the Author.
Index.
