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Hobermen Steve
Hobermen Steve - Data Modeling Made Simple With Ca Erwin Data Modeler R 8 - Paperback
Hobermen Steve - Data Modeling Made Simple With Ca Erwin Data Modeler R 8 - Paperback
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Binding: Paperback
Description: This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices and how to apply these principles with C a E Rwin Data Modeler r 8. You will build many C a E Rwin data models along the way mastering first the fundamentals and later in the book the more advanced features of C a E Rwin Data Modeler. The book combines real - world experience and best practices with down to earth advice humour and even cartoons to help you master the following ten objectives: Understand the basics of data modelling and relational theory and how to apply these skills using C a E Rwin Data Modeler; Read a data model of any size and complexity with the same confidence as reading a book; Understand the difference between conceptual logical and physical models and how to effectively build these models using C a E Rwin's Data Modelers Design Layer Architecture; Apply techniques to turn a logical data model into an efficient physical design and vice - versa through forward and reverse engineering for both top down and bottom - up design; Learn how to create reusable domains naming standards UD Ps and model templates in C a E Rwin Data Modeler to reduce modelling time improve data quality and increase enterprise consistency; Share data model information with various audiences using model formatting and layout techniques reporting and metadata exchange; Use the new workspace customisation features in C a E Rwin Data Modeler r 8 to create a workflow suited to your own individual needs; Leverage the new Bulk Editing features in C a E Rwin Data Modeler r 8 for mass metadata updates as well as import/export with Microsoft Excel; Compare and merge model changes using C a E Rwin Data Modelers Complete Compare features; Optimise the organisation and layout of your data models through the use of Subject Areas Diagrams Display Themes and more. Section I provides an overview of data modelling: what it is and why it is needed. The basic features of C a E Rwin Data Modeler are introduced with a simple easy - to - follow example. Section II introduces the basic building blocks of a data model including entities relationships keys and more. How - to examples using C a E Rwin Data Modeler are provided for each of these building blocks as well as 'real world scenarios for context. Section III covers the creation of reusable standards and their importance in the organisation. From standard data modelling constructs such as domains to C a E Rwin - specific features such as UD Ps this section covers step - by - step examples of how to create these standards in C a E Rwin Data Modeling from creation to template building to sharing standards with end users through reporting and queries. Section IV discusses conceptual logical and physical data models and provides a comprehensive case study using C a E Rwin Data Modeler to show the interrelationships between these models using C a E Rwin's Design Layer Architecture. Real world examples are provided from requirements gathering to working with business sponsors to the hands - on nitty - gritty details of building conceptual logical and physical data models with C a E Rwin Data Modeler r 8.
Title: Data Modeling Made Simple With Ca Erwin Data Modeler R 8
Author(s): Hobermen Steve
Publisher: Technics Publications Llc
Barcode: 9781935504092
Pages: 536 Pages, Illustrations, Unspecified
Publication Date: 8/15/2011
Category: Computer Science
Description: This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices and how to apply these principles with C a E Rwin Data Modeler r 8. You will build many C a E Rwin data models along the way mastering first the fundamentals and later in the book the more advanced features of C a E Rwin Data Modeler. The book combines real - world experience and best practices with down to earth advice humour and even cartoons to help you master the following ten objectives: Understand the basics of data modelling and relational theory and how to apply these skills using C a E Rwin Data Modeler; Read a data model of any size and complexity with the same confidence as reading a book; Understand the difference between conceptual logical and physical models and how to effectively build these models using C a E Rwin's Data Modelers Design Layer Architecture; Apply techniques to turn a logical data model into an efficient physical design and vice - versa through forward and reverse engineering for both top down and bottom - up design; Learn how to create reusable domains naming standards UD Ps and model templates in C a E Rwin Data Modeler to reduce modelling time improve data quality and increase enterprise consistency; Share data model information with various audiences using model formatting and layout techniques reporting and metadata exchange; Use the new workspace customisation features in C a E Rwin Data Modeler r 8 to create a workflow suited to your own individual needs; Leverage the new Bulk Editing features in C a E Rwin Data Modeler r 8 for mass metadata updates as well as import/export with Microsoft Excel; Compare and merge model changes using C a E Rwin Data Modelers Complete Compare features; Optimise the organisation and layout of your data models through the use of Subject Areas Diagrams Display Themes and more. Section I provides an overview of data modelling: what it is and why it is needed. The basic features of C a E Rwin Data Modeler are introduced with a simple easy - to - follow example. Section II introduces the basic building blocks of a data model including entities relationships keys and more. How - to examples using C a E Rwin Data Modeler are provided for each of these building blocks as well as 'real world scenarios for context. Section III covers the creation of reusable standards and their importance in the organisation. From standard data modelling constructs such as domains to C a E Rwin - specific features such as UD Ps this section covers step - by - step examples of how to create these standards in C a E Rwin Data Modeling from creation to template building to sharing standards with end users through reporting and queries. Section IV discusses conceptual logical and physical data models and provides a comprehensive case study using C a E Rwin Data Modeler to show the interrelationships between these models using C a E Rwin's Design Layer Architecture. Real world examples are provided from requirements gathering to working with business sponsors to the hands - on nitty - gritty details of building conceptual logical and physical data models with C a E Rwin Data Modeler r 8.
Title: Data Modeling Made Simple With Ca Erwin Data Modeler R 8
Author(s): Hobermen Steve
Publisher: Technics Publications Llc
Barcode: 9781935504092
Pages: 536 Pages, Illustrations, Unspecified
Publication Date: 8/15/2011
Category: Computer Science
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