Böcker i The Morgan Kaufmann Series in Data Management Systems-serien

Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. Inside, ORM authority Terry Halpin blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives.The most in-depth coverage of Object Role Modeling available anywhere-written by a pioneer in the development of ORM.Provides additional coverage of Entity Relationship (ER) modeling and the Unified Modeling Language-all from an ORM perspective.Intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers.Explains and illustrates required concepts from mathematics and set theory.

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.

Demonstrates the thought processes that are involved in attacking a problem from an SQL perspective to help advanced database programmers solve the puzzles that you frequently face. This book presents a collection of SQL puzzles with a variety of solutions and explanations.

Perfectly intelligent programmers often struggle when forced to work with SQL. Why? This title intends to change the way you think about the problems you solve with SQL programs. Focusing on three key table-based techniques, it reveals their power through detailed examples and explanations.

Corporate data is important as companies continue to find new ways to use it. This book deals with assessing the quality of corporate data and improving its accuracy using the data profiling method. It explains data profiling and shows how it fits into the larger picture of data quality.

Presents an understanding of the internals of transaction processing systems, describing how they work and how best to use them. This book includes the architecture of Web Application Servers, transactional communications paradigms, and mechanisms for recovering from transaction and system failures.

Provides tutelage for data modelers, business analysts and systems designers at various levels. Beginning with the basics, this book provides a grounding in theory before guiding the reader through the various stages of applied data modeling and database design. It addresses advanced subjects such as business rules, data warehousing, and others.

A guide to developing data-mining applications. It offers advice on performing these large-scale, open-ended analyses for real-world data warehouses. It focuses on the preparation and organization of data and the development of an overall strategy for data mining. It reviews sophisticated prediction methods that search for patterns in big data.

Demonstrates how to develop a business rules engine. This book covers user requirements, data modeling, and metadata. It includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, development and implementation considerations, and more.

The aim of query processing is to find information in one or more databases and deliver it to the user quickly and efficiently. This book teaches the basic concepts and techniques of query processing and optimization for a variety of data forms and database systems, whether structured or unstructured.

Advanced applications such as office automation, CAD, or software engineering have new requirements in design environments, transaction mechanisms, and data types. This volume by designers, implementors and users covers all aspects of building an object-oriented software system.

Helps you develop portable skills that allow you to tune a variety of database systems on a multitude of hardware and operating systems. This work covers the entire system environment: hardware, operating system, transactions, and others. It also describes performance-monitoring techniques that enables you to recognize and troubleshoot problems.

Wal-Mart's data warehouse is one of the world's largest, most ambitious, and arguably most successful commercial database. This book gives you an insider's view of this enormous project. It 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.

Suitable for analysts, engineers and managers involved in developing data mining models in business and government, this work helps you to understand the trade-offs implicit in various models and model architectures. It provides coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction.

Demonstrates how real world business problems can be formulated so that data mining can answer them. This work explains how to understand both the strategic and tactical aspects of a business problem, identify where the key leverage points are and determine where quantitative techniques of analysis - such as data mining - can yield most benefit.

Details SQL:1999's object facilities, including structured user-defined types, typed tables, user-defined routines, and routine invocation. Serving as a guide to this standard's practical application, this title focuses on the issues that matter to programmers who are connecting applications to databases.

Explores the technological innovations through which traditional data warehousing is brought to bear on this and other less modest e-commerce applications, such as those at work in B2B, G2C, B2G, and B2E models. This book examines the core technologies and commercial products in use.

Providing the details comprising ODMG 3.0, this work documents the changes found in version 3.0, including enhancements to the Java language. It pays attention to the broadening of the standard to support developments in object-to-database mappings (ODMs) that allow objects to be stored in relational databases.

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 guide to DB2 UDB Version 5 in all its aspects, including the interfaces that support end users, application developers, and database administrators.

A guide to developing global e-commerce sites. It focuses on design and engineering of Web forms for global data collection and alignment with widely recognized international standards, XML structures, and XML vocabularies. It describes the globalization problem, identifies common design errors, and introduces effective solutions and techniques.

Written for practicing IT professionals, this book is an introduction to relational database technology. It supports its conceptual information with example code and other practical illustrations; and explains fundamental issues such as the nature of data and data modeling, and moves to specific technical questions such as scales and measurements.

The chapters of this book provide a snapshot of current research and development activities in the area of query processing and optimization. They supply potential answers to many questions that have been raised for new types of database systems and at the same time reflect the variety of the different approaches taken.

This book develops a theory for transactions that provides practical solutions for system developers, focusing on the interface between the user and the database that executes transactions.

This collection offers a survey of the role of transaction processing in advanced computer applications. It contains an introduction to traditional transaction technology, and descriptions of commercial systems and research projects.

5th edition.

How do you model and design your database application in consideration of new technology or new business needs? This title is loaded with design rules and case studies that are applicable to any SQL, UML, or XML-based system. It is useful to those tasked with the creation of data models for the integration of large-scale enterprise data.

Intended for both novice and experienced SQL users, this work focuses on the language's capabilities, from the basic to the advanced, and the ways that real applications take advantage of them. It illustrates features and techniques with references to their own custom database, which can be downloaded from the companion Web site.

Covers OLAP (On-Line Analytical Processing), extensions in SQL-99. This book presents 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 teaches what SQL programmers need in order to make the transition from transactional systems (OLTP) into OLAP.

Helps you learn how to apply native XML technology to SOA for: data mediation using mid-tier data and service caching to handle the explosion of fresh schemas and devices in an ever changing environment and data aggregation in the SOA middle-tier for off-line browsing, service acceleration through mid-tier caching and transformation.