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Transaction Processing

Author: Jim Gray
Publisher: Elsevier
ISBN: 0080519555
Size: 51.79 MB
Format: PDF, Kindle
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The key to client/server computing. Transaction processing techniques are deeply ingrained in the fields of databases and operating systems and are used to monitor, control and update information in modern computer systems. This book will show you how large, distributed, heterogeneous computer systems can be made to work reliably. Using transactions as a unifying conceptual framework, the authors show how to build high-performance distributed systems and high-availability applications with finite budgets and risk. The authors provide detailed explanations of why various problems occur as well as practical, usable techniques for their solution. Throughout the book, examples and techniques are drawn from the most successful commercial and research systems. Extensive use of compilable C code fragments demonstrates the many transaction processing algorithms presented in the book. The book will be valuable to anyone interested in implementing distributed systems or client/server architectures.

Principles Of Transaction Processing

Author: Philip A. Bernstein
Publisher: Morgan Kaufmann
ISBN: 9780080948416
Size: 47.67 MB
Format: PDF, ePub
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Principles of Transaction Processing is a comprehensive guide to developing applications, designing systems, and evaluating engineering products. The book provides detailed discussions of the internal workings of transaction processing systems, and it discusses how these systems work and how best to utilize them. It covers the architecture of Web Application Servers and transactional communication paradigms. The book is divided into 11 chapters, which cover the following: Overview of transaction processing application and system structure Software abstractions found in transaction processing systems Architecture of multitier applications and the functions of transactional middleware and database servers Queued transaction processing and its internals, with IBM's Websphere MQ and Oracle's Stream AQ as examples Business process management and its mechanisms Description of the two-phase locking function, B-tree locking and multigranularity locking used in SQL database systems and nested transaction locking System recovery and its failures Two-phase commit protocol Comparison between the tradeoffs of replicating servers versus replication resources Transactional middleware products and standards Future trends, such as cloud computing platforms, composing scalable systems using distributed computing components, the use of flash storage to replace disks and data streams from sensor devices as a source of transaction requests. The text meets the needs of systems professionals, such as IT application programmers who construct TP applications, application analysts, and product developers. The book will also be invaluable to students and novices in application programming. Complete revision of the classic "non mathematical" transaction processing reference for systems professionals. Updated to focus on the needs of transaction processing via the Internet-- the main focus of business data processing investments, via web application servers, SOA, and important new TP standards. Retains the practical, non-mathematical, but thorough conceptual basis of the first edition.

Transactional Information Systems

Author: Gerhard Weikum
Publisher: Morgan Kaufmann
ISBN: 1558605088
Size: 11.56 MB
Format: PDF, ePub
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This book describes the theory, algorithms, and practical implementation techniques behind transaction processing in information technology systems.

Camelot And Avalon

Author: Jeffrey L. Eppinger
Publisher: Morgan Kaufmann Pub
ISBN:
Size: 43.70 MB
Format: PDF, ePub, Mobi
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This is a presentation of Camelot, including the design decisions, key algorithms used, implementation details, performance characteristics, and relevant material on the Mach operating system and programming tools.

Joe Celko S Analytics And Olap In Sql

Author: Joe Celko
Publisher: Elsevier
ISBN: 0080495931
Size: 47.46 MB
Format: PDF, ePub
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Joe Celko's Analytics and OLAP in SQL is the first book that teaches what SQL programmers need in order to successfully make the transition from On-Line Transaction Processing (OLTP) systems into the world of On-Line Analytical Processing (OLAP). This book is not an in-depth look at particular subjects, but an overview of many subjects that will give the working RDBMS programmers a map of the terra incognita they will face — if they want to grow. It contains expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums. It offers real-world insights and lots of practical examples. It covers the OLAP extensions in SQL-99; ETL tools, OLAP features supported in DBMSs, other query tools, simple reports, and statistical software. This book is ideal for experienced SQL programmers who have worked with OLTP systems who need to learn techniques—and even some tricks—that they can use in an OLAP situation. Expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums First book that teaches what SQL programmers need in order to successfully make the transition from transactional systems (OLTP) into the world of data warehouse data and OLAP Offers real-world insights and lots of practical examples Covers the OLAP extensions in SQL-99; ETL tools, OLAP features supported in DBMSs, other query tools, simple reports, and statistical software

Data Mining Concepts And Techniques

Author: Jiawei Han
Publisher: Elsevier
ISBN: 9780123814807
Size: 46.48 MB
Format: PDF, ePub, Mobi
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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Database Principles Programming And Performance

Author: Patrick O'Neil
Publisher: Morgan Kaufmann
ISBN:
Size: 17.82 MB
Format: PDF
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This second edition relies on the same successful approach that distinguished the first: it covers the principles of database theory with unmatched thoroughness, and it rigorously links theory to the real world of database programming and administration. A careful discussion of SQL standards and a multitude of examples drawn from actual databases-Oracle, DB2, and Informix-complements the authors' concept-oriented instruction, allowing you to develop product-specific understanding and to learn the important differences between the SQL dialects that will enable you to write portable applications. * Focuses extensively on the object-relational model that is rapidly gaining acceptance and revolutionizing the database industry. Collection types and UDF's are thoroughly covered. * Introduces new relational features of SQL taken from the latest versions of today's most popular database products, Oracle, DB2, and Informix. * Offers thorough coverage of the SQL-99 standard, including additions designed to help you take full advantage of the object-relational model. * Provides expanded programming examples intended to improve your understanding of transaction processing and error handling. * Explains clearly the principles of logical database design, including those relating to the E-R model and normalization, with a number of new illustrations and examples. * Presents the latest indexing and query processing techniques, such as bitmap indexing, and shows how to use them to achieve significant performance improvements.

Data Mining Southeast Asia Edition

Author: Jiawei Han
Publisher: Elsevier
ISBN: 9780080475585
Size: 49.64 MB
Format: PDF
View: 6029
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Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site

Atomic Transactions

Author: Nancy Ann Lynch
Publisher: Springer Science & Business
ISBN: 9781558601048
Size: 16.87 MB
Format: PDF, Docs
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This book presents a framework for precise design and verification of distributed and concurrent systems that use atomic transactions as a high-level abstraction. The authors present the most useful algorithms for transaction processing in concurrent and distributed systems, and include a well-developed data processing case study.

Building An Object Oriented Database System

Author: Francois Bancilhon
Publisher: Morgan Kaufmann
ISBN:
Size: 54.97 MB
Format: PDF, ePub
View: 4340
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Modern database and software system technology must respond to a wide variety of needs. Advanced applications such as office automation, CAD, or software engineering have new requirements in design environments, transaction mechanisms, and data types. This comprehensive volume by designers, implementors and users covers all aspects of building an object-oriented software system from data model through system implementation, interfaces, and applications. Utilizing techniques from databases, object-oriented languages, programming environments, and user interfaces, O2 is a landmark object-oriented database system representing a new generation of database technology. This guide will help researchers, database designers, and users to assess the nature and potential of object-oriented technology for themselves.