Clustered configuration first hit the scene nearly 20 years ago when Digital Equipment Corporation (DEC) introduced the VaxCluster. Until now, the topic of Real Application Clusters (RAC) implementation had never been fully explored. For the first time, Murali Vallath dissects RAC mysteries in his book Oracle Real Application Clusters to enlighten and educate readers on the internals of RAC operations, cache fusion, fusion recovery processes and the fast reconfiguration of RAC.
This book provides comprehensive coverage of the features, technology and principles of RAC that is part of the Oracle9i release of Oracle's RDBMS product. It is divided into three main parts: application/database design, development and maintenance life cycles.
Compared to its predecessor OPS, the architecture behind RAC implementation have changed significantly. Vallath discusses Oracle9i features in a RAC implementation with respect to usage and design considerations, as well as those parameters that are and are not applicable. Areas covered include partitioning, indexes, tablespace management, transaction management, backup and recovery principles. Performance tuning with examples, troubleshooting and problem solving scenarios are covered in detail, as well as discussions on the migration process from a single instance database to RAC and migration from an OPS implementation to RAC.
Oracle Real Application Clusters takes readers through a logical flow from RAC concepts to operations, covering each facet with a fine-tooth comb. Vallath's skilled writing style makes each chapter entertaining and informative as only a true RAC connoisseur can provide. New and experienced users of RAC, as well as those seeking to expand their knowledge of this dynamic technology, will find this book to be a necessity for both home and office reference libraries.
*Focuses on implementing, testing and tuning features of Real Application Clusters (RAC)
*Provides extensive coverage of usage, day-to-day functions and operations
*Includes tips and techniques such as script samples to illustrate various features of RAC
*Unravels the internals of RAC architecture

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem.
This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations.
.Teaches how to discover, construct and refine models that are useful in business situations
.Teaches how to design, discover and develop the data necessary for mining
.Provides a practical approach to mining data for all business situations
.Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data
.Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools."

Protect your digital resources! This book addresses critical issues of preservation, giving you everything you need to effectively protect your resources-from dealing with obsolescence, to responsibilities, methods of preservation, cost, and metadata formats. It also gives examples of numerous national and international institutions that provide frameworks for digital libraries and archives. A long-overdue text for anyone involved in the preservation of digital information, this book is critical in understanding today's methods and practices, intellectual discourse, and preservation guidelines. A must for librarians, archiving professionals, faculty and students of library science, administrators, and corporate leaders!

Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are working feverishly to solve.
Enterprise Knowledge Management: The Data Quality Approach presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by presenting an economic framework for understanding the value of data quality, then proceeds to outline data quality rules and domain-and mapping-based approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information.
Key Features
* Expert advice from a highly successful data quality consultant
* The only book on data quality offering the business acumen to appeal to managers and the technical expertise to appeal to IT professionals
* Details the high costs of bad data and the options available to companies that want to transform mere data into true enterprise knowledge
* Presents conceptual and practical information complementing companies' interest in data warehousing, data mining, and knowledge discovery

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials. The studies presented in Applications of Computer Content Analysis offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research--and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.

The studies presented in "Applications of Computer Content Analysis" offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research--and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

Learn from a SQL Server performance authority how to make your database run at lightning speed.
Ken England's SQL Server 6.5 Performance Optimization and Tuning Handbook is recognized by SQL Server administrators as the indispensable guide to tuning and optimization. Now he's revised the book for Microsoft's new SQL Server 2000, the most advanced and powerful version yet of SQL Server, which takes full advantage of Windows 2000's new processing capabilities. The book details the factors that determine database performance and offers readers tools, techniques and best practices they can use to tweak and tune SQL Server's configuration and operation. Readers will learn how to enhance performance through good physical design and effective internal storage structures. The book spells out methods for creating efficient indexes and techniques for tuning SQL Server's new query optimizer.

A new edition of the authoritative and bestselling guide, SQL Server 6.5 Performance Optimization and Tuning Handbook, 1555581803Targets SQL Server 2000Helps IT professionals run SQL Server more powerfully and efficiently and optimize it for e-commerce and knowledge management

Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes.
Data mining refers to a set of technologies and techniques by which IT professionals search large databases of information (such as those contained by SQL Server) for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests. It is becoming a foundation for e-commerce and knowledge management.
Unique book on a hot data management topic
Part of Digital Press's SQL Server and data mining clusters
Author is an expert on both traditional and Microsoft data mining technologies

At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, "Data Warehousing: Using the Wal-Mart Model" gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way.

What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution.
* Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award.
* Provides essential information for project managers, consultants, data warehouse managers, and data architects.
* Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance.
* Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more.
* Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.

Do you need an introductory book on data and databases? If the book is by Joe Celko, the answer is yes. "Data and Databases: Concepts in Practice" is the first introduction to relational database technology written especially for practicing IT professionals. If you work mostly outside the database world, this book will ground you in the concepts and overall framework you must master if your data-intensive projects are to be successful. If you're already an experienced database programmer, administrator, analyst, or user, it will let you take a step back from your work and examine the founding principles on which you rely every day-helping you to work smarter, faster, and problem-free.

Whatever your field or level of expertise, Data and Databases offers you the depth and breadth of vision for which Celko is famous. No one knows the topic as well as he, and no one conveys this knowledge as clearly, as effectively-or as engagingly. Filled with absorbing war stories and no-holds-barred commentary, this is a book you'll pick up again and again, both for the information it holds and for the distinctive style that marks it as genuine Celko.
* Supports its extensive conceptual information with example code and other practical illustrations.
* Explains fundamental issues such as the nature of data and data modeling, and moves to more specific technical questions such as scales, measurements, and encoding.
* Offers fresh, engaging approaches to basic and not-so-basic issues of database programming, including data entities, relationships and values, data structures, set operations, numeric data, character string data, logical data and operations, and missing data among others.
* Covers the conceptual foundations of modern RDBMS technology, making it an ideal choice for students.

Fuzzy Cluster Analysis presents advanced and powerful fuzzy clustering techniques. This thorough and self-contained introduction to fuzzy clustering methods and applications covers classification, image recognition, data analysis and rule generation. Combining theoretical and practical perspectives, each method is analysed in detail and fully illustrated with examples. Features include:

• Sections on inducing fuzzy if-then rules by fuzzy clustering and non-alternating optimization fuzzy clustering algorithms
• Discussion of solid fuzzy clustering techniques like the fuzzy c-means, the Gustafson-Kessel and the Gath-and-Geva algorithm for classification problems
• Focus on linear and shell clustering techniques used for detecting contours in image analysis
• Accompanying software and data sets pertaining to the examples presented, enabling the reader to learn through experimentation
• Examination of the difficulties involved in evaluating the results of fuzzy cluster analysis and of determining the number of clusters with analysis of global and local validity measures
• Description of different fuzzy clustering techniques allowing the user to select the method most appropriate to a particular problem

Computer scientists, engineers and mathematicians in industry and research who are concerned with fuzzy clustering methods, data analysis, pattern recognition or image processing will find this a timely and accessible resource. Graduate students in computer science, mathematics or statistics will value this comprehensive overview of the applications of fuzzy methods. Download accompanying program and data sets from our website

Whether building a relational, object-relational, or object-oriented database, database developers are increasingly relying on an object-oriented design approach as the best way to meet user needs and performance criteria. This book teaches you how to use the Unified Modeling Language-the official standard of the Object Management Group-to develop and implement the best possible design for your database.

Inside, the author leads you step by step through the design process, from requirements analysis to schema generation. You'll learn to express stakeholder needs in UML use cases and actor diagrams, to translate UML entities into database components, and to transform the resulting design into relational, object-relational, and object-oriented schemas for all major DBMS products.
* Teaches you everything you need to know to design, build, and test databases using an OO model.
* Shows you how to use UML, the accepted standard for database design according to OO principles.
* Explains how to transform your design into a conceptual schema for relational, object-relational, and object-oriented DBMSs.
* Offers practical examples of design for Oracle, SQL Server, Sybase, Informix, Object Design, POET, and other database management systems.
* Focuses heavily on re-using design patterns for maximum productivity and teaches you how to certify completed designs for re-use.

This is the first practical guide to using QSR NUD.IST - the leading software package for development, support and management of qualitative data analysis projects.

The book takes a user's perspective and presents the software as a set of tools for approaching a range of research issues and projects that the researcher may encounter. It starts by introducing and explaining what the software is intended to do and the different types of problems that it can be applied to. It then covers the key stages in carrying out qualitative data analysis, including strategies for setting up a project in QSR NUD.IST, and how to explore the data through coding, indexing and searching. There are practical exercises throughout to illustrate the strategies and techniques discussed.

QSR NUD·IST 4 is distributed by Scolari, Sage Publications Software.

DB2 Universal Database (UDB) supports many different types of applications, on many different kinds of data, in many different software and hardware environments.

This book provides a complete guide to DB2 UDB Version 5 in all its aspects, including the interfaces that support end users, application developers, and database administrators. It is complementary to the IBM product documentation, providing a clear and informal explanation of how the features of DB2 were intended to be used. It is an extensive revision of the author's earlier book, "Using the New DB2: IBM's Object-Relational Database System."
* Offers complete and self-contained information, and does not assume prior knowledge of DB2, SQL, or relational database concepts
* Covers elementary principles of database management as well as the advanced features of UDB, including recursive queries, constraints, triggers, user-defined datatypes, stored procedures, parallel databases, and graphical tools for database administration
* Includes dozens of practical tips that will save readers many hours of work in developing database applications
* Provides hundreds of tested examples written in SQL, C, C++, and Java, all of which are available on the MKP web site

The use of computers in qualitative research has redefined the way social researchers handle qualitative data. Two leading researchers in the field have written this lucid and accessible text on the principal approaches in qualitative research and show how the leading computer programs are used in computer-assisted qualitative data analysis (CAQDAS).

The authors examine the advantages and disadvantages of computer use, the impact of research resources and the research environment on the research process, and the status of qualitative research. They provide a framework for developing the craft and practice of CAQDAS and conclude by examining the latest techniques and their implications for the evolution of qualitative resear

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles and their practical manifestations in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.
+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.
+ Reviews sophisticated prediction methods that search for patterns in big data.
+ Describes how to accurately estimate future performance of proposed solutions.
+ Illustrates the data-mining process and its potential pitfalls through real-life case studies."

Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency and reduce cost by substantially automating processes such as diagnosis, scheduling and design. A case-based reasoner works by matching new problems to "cases" from a historical database and then adapting successful solutions from the past to current situations. Organizations as diverse as IBM, VISA International, Volkswagen, British Airways, and NASA have already made use of CBR in applications such as customer support, quality assurance, aircraft maintenance, process planning, and decision support, and many more applications are easily imaginable.
It is relatively simple to add CBR components to existing information systems, as this book demonstrates. The author explains the principles of CBR by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, he goes on to show how to design and implement a reliable, robust CBR system in a real-world environment. Additional resources are provided in a survey of commercially available CBR tools, a comprehensive bibliography, and a listing of companies providing CBR software and services.

With recent significant advances having been made in computer-aided methods to support qualitative data analysis, a whole new range of methodological questions arises: Will the software employed `take over' the analysis? Can computers be used to improve reliability and validity? Can computers make the research process more transparent and ensure a more systematic analysis? This book examines the central methodological and theoretical issues involved in using computers in qualitative research. International experts in the field discuss various strategies for computer-assisted qualitative analysis, outlining strategies for building theories by employing networks of categories and means of evaluating hypotheses generated from qualitative data. New ways of integrating qualitative and quantitative analysis techniques are also described.

The aim of this volume is to brief researchers of the importance of data analysis in enzymology, of the modern methods that have developed concomitantly with computer hardware, and of the need to validate their computer programs with real and synthetic data to ascertain that the results produced are what they expected.

The history of the computer, and of the industry it spawned, is the latest entrant into the field of historical studies. Scholars beginning to turn their attention to the subject of computing need James Cortada's "Archives of Data Procesing History" as a brief introduction to sources immediately available for investigation. Each essay provides an overview of a major government, academic, or industrial archival collection dealing with the history of computing, the industry, and its leaders and is written by the archivist/historian who has worked with or is responsible for the collection.

The archives give practical information on hours, organization, contacts, telephone numbers, survey of contents, and assessments of the historical significance of the collections and their institutions. Reference and business librarians will definitely want to add this volume to their collections. Those interested in the history of technology, the business history of the industry, and the history of major institutions will want to consult it.

As millions of people have been exposed to computing through the tremendous growth of microcomputers, there has developed an increasing appreciation of the history of data processing, which dates back many decades before the arrival of the computer. Stretching back to at least the 1860s, such early technologies as adding machines, punch cards, and the office appliance industry are now being recognized for their place in the history of the information processing industry. This work brings together a comprehensive list of sources that offer a general introduction to the literature of the industry. Divided into nine chapters covering topics and historical periods, the bibliography provides an annotated list of published materials describing both the history of the industry and significant items of general interest. Each chapter is introduced with a short review of historically important issues and comments on the literature, and contains contemporary publications as well as more recent material. To give the work a continuing usefulness, ongoing publications, such as computer magazines, are highlighted. Entries are grouped under nearly 100 subheadings, covering such material as contemporary descriptions of hardware and software of the past, seminal technical papers, industry surveys, programming languages, significant individuals and companies, and the role of Japan and microcomputing. All citations are annotated with a brief summary of either the work's contents or its historical importance, while two indexes provide both subject references and author citations. This bibliography will be an important reference source for courses in the history of data processing and business history, and auseful addition to public, college, and university libraries.

This book is a digital electronics text focused on 'how to' design, build, operate and adapt data acquisition systems. The book is intended to serve people whose goals include teaching or learning one or more of the following: digital electronics, circuit design for computer expansion slots, software which interacts with outside hardware, the process of computer based data acquisition, and the design, adaptation, construction and testing of measurement systems. The fundamental idea of the book is that parallel I/O ports (available for all popular computers) offer a superior balance of simplicity, low cost, speed, flexibility and adaptability.

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It is not lost on commercial organisations that where we live colours how we view ourselves and others. That is why so many now place us into social groups on the basis of the type of postcode in which we live. Social scientists call this practice "commercial sociology". Richard Webber originated Acorn and Mosaic, the two most successful geodemographic classifications. Roger Burrows is a critical interdisciplinary social scientist. Together they chart the origins of this practice and explain the challenges it poses to long-established social scientific beliefs such as: the role of the questionnaire in an era of "big data" the primacy of theory the relationship between qualitative and quantitative modes of understanding the relevance of visual clues to lay understanding. To help readers evaluate the validity of this form of classification, the book assesses how well geodemographic categories track the emergence of new types of residential neighbourhood and subject a number of key contemporary issues to geodemographic modes of analysis.

Analytics has grabbed a lot of attention as of late in the fields of marketing, business intelligence, projections, and strategizing things. The role of analytics has been realized by many firms across the world and hence, it is now one of the most demanded skills in the business domains. As the digital age and the demand for data is rising, the role of analytics is assuming even more importance. The manner in which it returns the results and outcomes of the various analyses performed to aid the growth of businesses, has been acknowledged across domains. New Age Analytics makes the readers aware about the various ways in which the analytics work in the present age and time.