Author : David Auer
Publisher : Pearson Higher Ed
Page : 641 pages
File Size : 15,29 MB
Release : 2011-11-21
Category : Computers
ISBN : 0132998467
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Get straight to the point of database processing. Database Processing reflects a new teaching method that gets readers straight to the point with its thorough and modern presentation of database processing fundamentals. The twelfth edition has been thoroughly updated to reflect the latest software.
Author : W. Kim
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 14,94 MB
Release : 2012-12-06
Category : Computers
ISBN : 3642823750
This book is an anthology of the results of research and development in database query processing during the past decade. The relational model of data provided tremendous impetus for research into query processing. Since a relational query does not specify access paths to the stored data, the database management system (DBMS) must provide an intelligent query-processing subsystem which will evaluate a number of potentially efficient strategies for processing the query and select the one that optimizes a given performance measure. The degree of sophistication of this subsystem, often called the optimizer, critically affects the performance of the DBMS. Research into query processing thus started has taken off in several directions during the past decade. The emergence of research into distributed databases has enormously complicated the tasks of the optimizer. In a distributed environment, the database may be partitioned into horizontal or vertical fragments of relations. Replicas of the fragments may be stored in different sites of a network and even migrate to other sites. The measure of performance of a query in a distributed system must include the communication cost between sites. To minimize communication costs for-queries involving multiple relations across multiple sites, optimizers may also have to consider semi-join techniques.
Author : Jennifer Widom
Publisher : Morgan Kaufmann
Page : 360 pages
File Size : 48,68 MB
Release : 1995-09
Category : Computers
ISBN : 9781558603042
Active database systems enhance traditional database functionality with powerful rule-processing capabilities, providing a uniform and efficient mechanism for many database system applications. Among these applications are integrity constraints, views, authorization, statistics gathering, monitoring and alerting, knowledge-based systems, expert systems, and workflow management. This significant collection focuses on the most prominent research projects in active database systems. The project leaders for each prototype system provide detailed discussions of their projects and the relevance of their results to the future of active database systems. Features: A broad overview of current active database systems and how they can be extended and improved A comprehensive introduction to the core topics of the field, including its motivation and history Coverage of active database (trigger) capabilities in commercial products Discussion of forthcoming standards
Author : Clement T. Yu
Publisher : Morgan Kaufmann
Page : 512 pages
File Size : 33,29 MB
Release : 1998
Category : Computers
ISBN :
A thorough presentation of query processing techniques in a broad range of database systems for advanced applications. Provides the most effective query processing techniques and ways to optimize the information retrieval process. Intended for database systems designers creating advanced applications.
Author : Oswaldo F. Domejean
Publisher : Lulu.com
Page : 94 pages
File Size : 47,68 MB
Release : 2008-12-29
Category : Computers
ISBN : 0557024927
This book describes some interesting aspects of the weaknesses and conflictive aspects that the language SQL has in Database Processing, it includes some characteristics of the language that are valid from the perspective of the mathematical theory of Logic, but in the queries could lead us to misinterpretations of results.The intent of this book is to be used along with SQL books because it focuses specifically on the weaknesses and conflictive aspects of the language SQL.This work is an essential resource for any IT professional who works with SQL databases, because the quality of the information in a SQL database depends entirely on the quality of the database queries, for this reason is essential to know the weaknesses and conflictive aspects of the SQL language to build correct queries. It's assumed that the reader has an intermediate knowledge of the language SQL.
Author : Philip M. Lewis
Publisher :
Page : 1014 pages
File Size : 12,98 MB
Release : 2003
Category : Database management
ISBN : 9780321210234
This is a great book! This is the book I wish I had written. --Jim Gray, Microsoft Research, recipient of 1998 A.M. Turing Award for seminal contributions to database and transaction processing researchDatabases and Transaction Processing provides a complete and clear explanation of the conceptual and engineering principles underlying the design and implementation of database and transaction processing applications. Rather than focusing on how to implement the database management system itself, this text focuses on how to build database applications. To provide a solid foundation for these principles, the book thoroughly covers the theory underlying relational databases and relational query languages.To illustrate both database and transaction processing concepts, a case study is carried throughout the book. The technical aspects of each chapter applied to the case study and the software engineering concepts required to implement the case study are discussed.In addition to the more traditional material -- relational databases, SQL, and the ACID properties of transactions -- the book provides in-depth coverage of the most current topics in database and transaction processing tec
Author : Alex A. Freitas
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 15,67 MB
Release : 2012-12-06
Category : Computers
ISBN : 1461555213
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.
Author : Pethuru Raj
Publisher : Springer
Page : 443 pages
File Size : 50,95 MB
Release : 2015-10-16
Category : Computers
ISBN : 331920744X
This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.
Author : Alex Petrov
Publisher : O'Reilly Media
Page : 373 pages
File Size : 48,58 MB
Release : 2019-09-13
Category : Computers
ISBN : 1492040312
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
Author : Wilfried Lemahieu
Publisher : Cambridge University Press
Page : 817 pages
File Size : 48,68 MB
Release : 2018-07-12
Category : Computers
ISBN : 1107186129
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
