9781634628440 - Data Modeling Made Simple with erwin DM von Harris, Jeff; Hoberman, Steve (27 Ergebnisse)

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Paperback. Zustand: new. Paperback. Master erwin DM to deliver robust and precise designs for both operationaland analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, businessanalysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model,transposing those logical modeling objects into physical tables and columns, and evengenerating the implementation database scripts.This book contains seven parts. Part I provices a foundation in data medling and Part II a foundatin in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules and subject areas, along with how to implement them using erwin DM. Part V ecplains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Decome confident creating tables, columns, indexes and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complere compare, report designer and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog and erwin Data Literacy. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Zustand: new. Paperback. Master erwin DM to deliver robust and precise designs for both operationaland analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, businessanalysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model,transposing those logical modeling objects into physical tables and columns, and evengenerating the implementation database scripts.This book contains seven parts. Part I provices a foundation in data medling and Part II a foundatin in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules and subject areas, along with how to implement them using erwin DM. Part V ecplains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Decome confident creating tables, columns, indexes and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complere compare, report designer and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog and erwin Data Literacy. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master erwin DM to deliver robust and precise designs for both operational and analytical projects.Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, business analysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts.This book contains seven parts. Part I provides a foundation in data modeling and Part II a foundation in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical, and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules, and subject areas, along with how to implement them using erwin DM. Part V explains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Become confident creating tables, columns, indexes, and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complete compare, report designer, and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog, and erwin Data Literacy. 540 pp. Englisch.

Paperback. Zustand: new. Paperback. Master erwin DM to deliver robust and precise designs for both operationaland analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, businessanalysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model,transposing those logical modeling objects into physical tables and columns, and evengenerating the implementation database scripts.This book contains seven parts. Part I provices a foundation in data medling and Part II a foundatin in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules and subject areas, along with how to implement them using erwin DM. Part V ecplains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Decome confident creating tables, columns, indexes and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complere compare, report designer and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog and erwin Data Literacy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMaster erwin DM to deliver robust and precise designs for both operational and analytical projects. nSteve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). T.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master erwin DM to deliver robust and precise designs for both operational and analytical projects.Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, business analysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts.This book contains seven parts. Part I provides a foundation in data modeling and Part II a foundation in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical, and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules, and subject areas, along with how to implement them using erwin DM. Part V explains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Become confident creating tables, columns, indexes, and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complete compare, report designer, and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog, and erwin Data Literacy.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 540 pp. Englisch.

Taschenbuch. Zustand: Neu. Data Modeling Made Simple with erwin DM | Jeff Harris (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Technics Publications | EAN 9781634628440 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master erwin DM to deliver robust and precise designs for both operational and analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, business analysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts.This book contains seven parts. Part I provides a foundation in data modeling and Part II a foundation in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical, and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules, and subject areas, along with how to implement them using erwin DM. Part V explains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Become confident creating tables, columns, indexes, and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complete compare, report designer, and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog, and erwin Data Literacy.