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A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book;
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Data Model Resource Book. By adding this book to Volumes 1 and 2 you will be gaining access to some of the most integrated data modeling;
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applications, work with the SAP S/4HANA virtual data model, and get to know the ABAP RESTful application programming model. Round out your knowledge;
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This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model;
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This book constitutes the refereed proceedings of the 6th International Conference on Model and Data Engineering, MEDI 2016, held;
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Model, map, and access data effectively with Entity Framework Core 2, the latest evolution of Microsoft's object-relational mapping;
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is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard;
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Encyclopedic in scope, Reversibility of Chronic Degenerative Disease and Hypersensitivity, Volume 2: The Effects of Environmental;
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organization's current and future business information demand.Data Resource Data provided the complete detailed data resource model for understanding and;
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of business. Volume 2 features hundreds of model employment forms; any item from Volume 1 that has forms associated with it will have forms provided;
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This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on;
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This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial;
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-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much;
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This book constitutes the refereed proceedings of the 5th International Conference on Model and Data Engineering, MEDI 2015, held in Rhodes;
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, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for learning analytics. The;
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; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for;
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, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The;
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, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The;
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Kranenborg and Anna Buchta) and the National Rapporteurs on Topic 2: The New EU Data Protection Regime: Setting Global Standards for the Right to;
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, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for learning analytics. The;
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assessment, publication of the Restructured Form of the MMPI-2, and integration of multivariate Five-Factor Model instruments with personality;
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assessment, publication of the Restructured Form of the MMPI-2, and integration of multivariate Five-Factor Model instruments with personality;
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Are you struggling to find the data that you need to support your business activities? Are you concerned that people may be using the wrong;
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This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus;
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This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture;
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This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture;
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for all models for hierarchical or nested data. This book presents two types of multilevel models: the multilevel regression model; and a;
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