Readings in Database Systems / Edition 4

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Overview

Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area — the basic material for any DBMS professional.This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

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Product Details

  • ISBN-13: 9780262693141
  • Publisher: MIT Press
  • Publication date: 1/7/2005
  • Edition description: fourth edition
  • Edition number: 4
  • Pages: 864
  • Sales rank: 1067096
  • Product dimensions: 8.50 (w) x 11.00 (h) x 1.75 (d)

Meet the Author

Joseph M. Hellerstein is Professor, Computer Science Division, at the University of California, Berkeley, and Director, Intel Research Berkeley.

Michael Stonebraker is Adjunct Professor, Department of Electrical Engineering and Computer Science at MIT.

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Table of Contents

What goes around comes around 2
Anatomy of a database system 42
Access path selection in a relational database management system 103
Join processing in database systems with large main memories 115
Parallel database systems : the future of high performance database systems 141
Encapsulation of parallelism in the volcano query processing system 155
AlphaSort : a RISC machine sort 165
R optimizer validation and performance evaluation for distributed queries 175
Mariposa : a wide-area distributed database system 186
The R-tree : an efficient and robust access method for points and rectangles 207
Operating system support for database management 217
The five-minute rule ten years later, and other computer storage rules of thumb 224
A case for redundant arrays of inexpensive disks (RAID) 230
Granularity of locks and degrees of consistency in a shared data base 244
On optimistic methods for concurrency control 274
Concurrency control performance modeling : alternatives and implications 288
Efficient locking for concurrent operations on B-tress 334
ARIES : a transaction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging 355
Transaction management in the R distributed database management system 424
The dangers of replication and a solution 443
Inclusion of new types in relational data base systems 459
Generalized search trees for database systems 467
Grammar-like functional rules for representing query optimization alternatives 479
AutoAdmin "what-if" index analysis utility 492
Applying model management to classical meta data problems 504
Algorithms for creating indexes for very large tables without quiescing updates 516
An overview of data warehousing and OLAP technology 532
Improved query performance with variant indexes 542
DataCube : a relational aggregation operator generalizing group-by, cross-tab, and sub-totals 554
An array-based algorithm for simultaneous multidimensional aggregates 579
Deriving production rules for incremental view maintenance 591
Informix under CONTROL : online query processing 604
DynaMat : a dynamic view management system for data warehouses 638
BIRCH : an efficient data clustering method for very large databases 656
SPRINT : a scalable parallel classifier for data mining 668
Fast algorithms for mining association rules 680
Efficient evaluation of queries with mining predicates 693
Combining systems and databases : a search engine retrospective 711
The anatomy of a large-scale hypertextual web search engine 725
The BINGO! system for information portal generation and expert web search 745
Data management in application servers 757
Querying semi-structured data 768
DataGuides : enabling query formulation and optimization in semistructured databases 786
NiagaraCQ : a scalable continuous query system for the internet databases 796
Scalable trigger processing 814
The design and implementation of a sequence database system 824
Eddies : continuously adaptive query processing 836
Retrospective on Aurora
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