Donna burbank (45 Ergebnisse)

paperback. Zustand: Good.

Zustand: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Zustand: Good. 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 CA ERwin Data Modeler r8. You will build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin 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 CA ERwin 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 CA ERwin'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, UDPs, and model templates in CA ERwin 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 CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs; Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates, as well as import/export with Microsoft Excel; Compare and merge model changes using CA ERwin 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 CA ERwin 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 CA ERwin 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 CA ERwin-specific features such as UDPs, this section covers step-by-step examples of how to create these standards in CA ERwin 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 CA ERwin Data Modeler to show the interrelationships between these models using CA ERwin'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 CA ERwin Data Modeler r8.…

Zustand: very_good.

Zustand: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

Paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. 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 CA ERwin Data Modeler r8. You will build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin 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 CA ERwin 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 CA ERwin'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, UDPs, and model templates in CA ERwin 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 CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs; Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates, as well as import/export with Microsoft Excel; Compare and merge model changes using CA ERwin 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 CA ERwin 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 CA ERwin 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 CA ERwin-specific features such as UDPs, this section covers step-by-step examples of how to create these standards in CA ERwin 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 CA ERwin Data Modeler to show the interrelationships between these models using CA ERwin'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 CA ERwin Data Modeler r8.…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

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Paperback. Zustand: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.

Zustand: like_new. Fast & Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy.

Paperback. Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

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Zustand: New. In English.

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Paperback. Zustand: New. In shrink wrap. Looks like an interesting title.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

Zustand: New.