Published 2001
by Addison-Wesley in Boston .
Written in English
Edition Notes
Includes bibliographical references and index
| Statement | John Carlis and Joseph Maguire |
| Contributions | Maguire, Joseph D |
| Classifications | |
|---|---|
| LC Classifications | QA76.9.D26 C37 2001 |
| The Physical Object | |
| Pagination | xxvi, 377 p. : |
| Number of Pages | 377 |
| ID Numbers | |
| Open Library | OL17006461M |
| ISBN 10 | 020170045X |
| LC Control Number | 00061845 |
Mastering Data Modeling book. Read reviews from world’s largest community for readers. This book introduces Logical Data Structures (LDS), a powerful new /5. Read "Mastering Data Modeling A User Driven Approach" by John Carlis available from Rakuten : Pearson Education. Mastering Data Modeling. Published: January 1, am; Author David Hay; Author: John Carlis & Joseph Maguire Publisher: Addison-Wesley ISBN X. First impression. I confess to greeting books on data modeling . Mastering data modeling a user-driven approach Material Type Book Language English Title Mastering data modeling a user-driven approach Author(S) John Carlis Joseph Maguire Publication Data Boston: Addison-Wesley Publication€ Date Edition NA Physical Description XXVI, p Subject Computer Subject Headings Database design Data .
Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data Reviews: 5. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data . Master Data modeling must consider things like: the ability for users to easily participate in Data Stewardship of the Master Data; and attribution for effective, efficient Match, Merge and Deduplication processing. These core tenets of Master Data will very often require the MDM model . Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data /5(6).
A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book /5(6). This book is written in a conversational style that encourages you to read it from start to finish and master key objectives, including knowing when a data model is needed and which type is most effective, building a normalized relational data model, applying techniques to turn a data model into an efficient physical design, and reading a data. A Data Model is a new approach for integrating data from multiple tables, effectively building a relational data source inside the Excel workbook. Within Excel, Data Models are used transparently, providing data used in PivotTables, PivotCharts, and Power View reports. You can view, manage, and extend the model . Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data /5(9).
