Аннотация:
Рассмотрены вопросы, необходимые разработчику для создания клиент-серверных приложений с использованием СУБД Firebird, явившейся развитием СУБД Borland Interbase 6. Содержится обзор концепций и моделей архитектуры клиент/сервер, а также практические рекомендации по работе с клиентскими библиотеками Firebird.
Детально описаны особенности типов данных SQL, язык манипулирования данными (Data Manipulation Language, DML), а также синтаксис и операторы языка определения данных (Data Definition Language, DDL). Большое внимание уделено описанию транзакций и приведены советы по их использованию при разработке приложений.
Описано программирование на стороне клиента и сервера: написание триггеров и хранимых процедур, создание и использование событий базы данных, обработка ошибок в коде на сервере и многое другое. Материал сопровождается многочисленными примерами, советами и практическими рекомендациями.

Аннотация:
Книга представляет собой практическое руководство по созданию аналитических отчетов с помощью генератора отчетов Crystal Reports версии 9. Дан обзор инструментальной среды и принципы выборки, сортировки и группирования данных. Объясняется использование формул, диаграмм и географических карт, матричных отчетов и OLAP-источников данных. Для системных администраторов рассматриваются различные методы распространения отчетов - от экспорта в распространенные форматы до распространения с помощью Crystal Reports Enterprise. Для профессиональных разработчиков информационных систем рассматривается использование Crystal Report Print Engine API и встраиваемых компонентов Crystal Reports (Delphi и Visual Basic), их применение для интеграции в информационные системы, отчетов, созданных в различных средах разработки. В приложениях приведен перечень и подробное описание функций Crystal Report Print Engine API (CRPE), а также описание параметров функций Crystal Report Print Engine API.

Аннотация:
Данная книга посвящена практическим и теоретическим вопросам использования программных продуктов фирмы Informix. Одновременно затрагиваются и в достаточной степени обсуждаются общие вопросы построения систем с использованием баз данных. Основная цель книги - помочь разработчикам, которые только - только познакомились с технологией современных систем управления базами данных, наметить наиболее подходящие для себя решения, выбрать правильные продукты и, наконец, сделать первые реальные шаги по воплощению своих идей в реальные приложения. Книга будет полезна и тем. кто уже практически знаком с продукцией и технологией фирмы Informix Software, разрабатывает новые приложения или эксплуатирует уже существующие программы на основе этой продукции и технологии. Данная книга не заменяет собой техническую документацию, а пытается дать комплексный подход к решению возникающих задач.

The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis.

Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include:

The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures
A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment
Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making
Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes
An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code
This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.

The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. Applied Data Mining: Statistical Methods for Business and Industry provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework. It describes six case studies, taken from real industry projects, highlighting the current applications of data mining methods.

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.

Whether you are a seasoned professional or a new student of data mining, this book has much to offer you:
* 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.

The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide.


* SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more
* Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features
* Covers all commonly used features and shows you the practical applications you can put to work in your business
* Explores how to get various types of data into the software and how to work with databases
* Covers producing reports and Web reporting tools, analytics, macros, and working with your data