9781634620925 - data modeling made simple with embarcadero er/studio data architect: adapting to agile data modeling in a big data world di hoberman, steve (34 risultati)
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paperback. Condizione: Good. Second. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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paperback. Condizione: New. Second. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Paperback. Condizione: new. Paperback. Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio's support for agile development, as well as a description of som…e of ER/Studio's newer features for NoSQL, such as MongoDB's containment structure. You will build many ER/Studio data models along the way, applying best practices to master these ten objectives: 1. Know why a data model is needed and which ER/Studio models are the most appropriate for each situation. 2. Understand each component on the data model and how to represent and create them in ER/Studio. 3. Know how to leverage ER/Studio's latest features including those assisting agile teams and forward and reverse engineering of NoSQL databases. 4. Know how to apply all the foundational features of ER/Studio. 5. Be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio. 6. Be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design. 7.Improve data model quality and impact analysis results by leveraging ER/Studio's lineage functionality and compare/merge utility. 8. Be able to apply ER/Studio's data dictionary features 9. Learn ways of sharing the data model through reporting and through exporting the model in a variety of formats. 10.Leverage ER/Studio's naming functionality to improve naming consistency, including the new Automatic Naming Translation feature. This book contains four sections: Section I introduces data modeling and the ER/Studio landscape. Learn why data modeling is so critical to software development and even more importantly, why data modeling is so critical to understanding the business. You will learn about the newest features in ER/Studio (including features on big data and agile), and the ER/Studio environment. By the end of this section, you will have created and saved your first data model in ER/Studio and be ready to start modeling in Section II! Section II explains all of the symbols and text on a data model, including entities, attributes, relationships, domains, and keys.By the time you finish this section, you will be able to read' a data model of any size or complexity, and create a complete data model in ER/Studio. Section III explores the three different levels of models: conceptual, logical, and physical. A conceptual data model (CDM) represents a business need within a defined scope. The logical data model (LDM) represents a detailed business solution, capturing the business requirements without complicating the model with implementation concerns such as software and hardware. The physical data model (PDM) represents a detailed technical solution. The PDM is the logical data model compromised often to improve performance or usability. The PDM makes up for deficiencies in our technology. By the end of this section you will be able to create conceptual, logical, and physical data models in ER/Studio. Section IV discusses additional features of ER/Studio. These features include data dictionary, data lineage, automating tasks, repository and portal, exporting and reporting, naming standards, and compare and merge functionality. Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. pp. 350.
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Condizione: New. Num Pages: 350 pages. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. Second. Paperback. . . . .
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Condizione: New. Num Pages: 350 pages. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. Second. Paperback. . . . . Books ship from the US and Ireland.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Paperback. Condizione: new. Paperback. Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio's support for agile development, as well as a description of som…e of ER/Studio's newer features for NoSQL, such as MongoDB's containment structure. You will build many ER/Studio data models along the way, applying best practices to master these ten objectives: 1. Know why a data model is needed and which ER/Studio models are the most appropriate for each situation. 2. Understand each component on the data model and how to represent and create them in ER/Studio. 3. Know how to leverage ER/Studio's latest features including those assisting agile teams and forward and reverse engineering of NoSQL databases. 4. Know how to apply all the foundational features of ER/Studio. 5. Be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio. 6. Be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design. 7.Improve data model quality and impact analysis results by leveraging ER/Studio's lineage functionality and compare/merge utility. 8. Be able to apply ER/Studio's data dictionary features 9. Learn ways of sharing the data model through reporting and through exporting the model in a variety of formats. 10.Leverage ER/Studio's naming functionality to improve naming consistency, including the new Automatic Naming Translation feature. This book contains four sections: Section I introduces data modeling and the ER/Studio landscape. Learn why data modeling is so critical to software development and even more importantly, why data modeling is so critical to understanding the business. You will learn about the newest features in ER/Studio (including features on big data and agile), and the ER/Studio environment. By the end of this section, you will have created and saved your first data model in ER/Studio and be ready to start modeling in Section II! Section II explains all of the symbols and text on a data model, including entities, attributes, relationships, domains, and keys.By the time you finish this section, you will be able to read' a data model of any size or complexity, and create a complete data model in ER/Studio. Section III explores the three different levels of models: conceptual, logical, and physical. A conceptual data model (CDM) represents a business need within a defined scope. The logical data model (LDM) represents a detailed business solution, capturing the business requirements without complicating the model with implementation concerns such as software and hardware. The physical data model (PDM) represents a detailed technical solution. The PDM is the logical data model compromised often to improve performance or usability. The PDM makes up for deficiencies in our technology. By the end of this section you will be able to create conceptual, logical, and physical data models in ER/Studio. Section IV discusses additional features of ER/Studio. These features include data dictionary, data lineage, automating tasks, repository and portal, exporting and reporting, naming standards, and compare and merge functionality. Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condizione: New. Print on Demand pp. 350.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.







