Data


The Data Model Resource Book: A Library of Universal Data Models for All Enterprises by Len Silverston,

The Data Model Resource Book: A Library of Universal Data Models for All Enterprises by Len Silverston,
" These books are a must for any company implementing data models. They contain practical insights Data and templates of universal data models which can be used by all enterprises, regardless of their level of experience." – Ron Powell, Publisher, DM Review Industry experts raved about The Data Model Resource Book when it first came out– – Data and no wonder. This book arms you with a powerful set of data models Data and data warehouse designs that you can use to jump-start your database development projects. You get proven models for common business functions such as ordering Data and managing products, handling shipments, invoicing, accounting Data and budgeting, managing human resources, contact management, Data and project management. You’ ll save countless hours Data and thousands of dollars in database development costs. This updated edition, fully edited Data and revised by Len Silverston, includes many new Data and expanded data models, including models for call center management, product customization, shipping Data and receiving, budgeting scenarios, Data and employee qualifications Data and performance. Plus, there are new data mart designs, including financial analysis, inventory management, Data and shipping logistics. With this book, you’ ll learn how to: Customize enterprise Data and logical data models that meet the specific needs of your organizationConvert logical data models to data warehouses Data and data martsDevelop physical data designs Data and evaluate design options based on the universal data modelsIntegrate databases Data and data warehouses across the enterpriseValidate your organization’ s existing data models You’ ll also want to check out the companion volume, The Data Model ResourceBook, Revised Edition, Volume 2 (0-471-35348-5), which provides universal data models that have been tailored for various industries Data and applications.
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Data Preparation for Data Mining with CDROM by Dorian Pyle,

Data Preparation for Data Mining with CDROM by Dorian Pyle,
"Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more alluring question of how best to extract meaningful knowledge. But without adequate preparation of your data, the return on the resources invested in mining is certain to be disappointing. Dorian Pyle corrects this imbalance. A twenty-five-year veteran of what has become the data mining industry, Pyle shares his own successful data preparation methodology, offering both a conceptual overview for managers Data and complete technical details for IT professionals. Apply his techniques Data and watch your mining efforts pay off-in the form of improved performance, reduced distortion, Data and more valuable results. On the enclosed CD-ROM, you'll find a suite of programs as C source code Data and compiled into a command-line-driven toolkit. This code illustrates how the author's techniques can be applied to arrive at an automated preparation solution that works for you. Also included are demonstration versions of three commercial products that help with data preparation, along with sample data with which you can practice Data and experiment. * Offers in-depth coverage of an essential but largely ignored subject. * Goes far beyond theory, leading you-step by step-through the author's own data preparation techniques. * Provides practical illustrations of the author's methodology using realistic sample data sets. * Includes algorithms you can apply directly to your own project, along with instructions for understanding when automation is possible Data and whengreater intervention is required. * Explains how to identify Data and correct data problems that may be present in your application. * Prepares miners, helping them head into preparation with a better understanding of data sets Data and their limitations.
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Data link - In telecommunication a data link is the means of connecting one location to another for the purpose of transmitting and receiving data. It can also be an assembly, consisting of parts of two data terminal equipments (DTEs) and the interconnecting data circuit, that is controlled by a link protocol enabling data to be transferred from a data source to a data sink.

Global Oceanographic Data Archaeology and Rescue Project - The Global Oceanographic Data Archaeology and Rescue Project, or GODAR Project was established to increase the volume of historical oceanographic data available to climate change and other researchers. The project attempts to locate ocean profile and plankton data sets not yet in digital form, digitizes these data, and ensures their submission to national data centers and the World Data Center system (WDC).

Data Processor - In data processing or information processing, a Data Processor or Data Processing Unit or Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.

Lossless data compression - Lossless data compression is a class of data compression algorithms that allows the exact original data to be reconstructed from the compressed data. Contrast with lossy data compression.

data

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Data Structure Through C - Data Structure Through C Data Structures With C++ by William Ford, This long-awaited second edition of "Data Structures with C++ Using STL," by Professors Ford data structure through c and Topp, provides a modern object-oriented approach to data structures using the model of the Standard Template Library (STL). The authors unify the study of data structures around the concepts of containers data structure through c and iterators. The book skillfully develops algorithms for the data structures data structure through c and their applications. Readers will find a systematic data structure through c and detailed implementation for each data structure. These successful authors offer a learning tool that is motivated by a ...

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