Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his ability to translate from business requirements to technical specifications. Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steve's frequent data modeling consulting assignments is to review BTMs using his Data Model Scorecard® technique. He is the creator of the Data Modeling Institute's Data Modeling Certification exam, Data Modeling Zone Conference Chair, lecturer at Columbia University, and recipient of the Data Administration Management Association International Professional Achievement Award.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Data issues don't always make the front page, yet they exist within every organisation. We need to improve how we manage data -- and the most valuable tool for explaining, vaildating and managing data is a data model. This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation; Read a data model of any size and complexity with the same confidence as reading a book; Build a fully normalised relational data model, as well as an easily navigatable dimensional model; Apply techniques to turn a logical data model into an efficient physical design; Leverage several templates to make requirements gathering more efficient and accurate; Explain all ten categories of the Data Model Scorecard®; Learn strategies to improve your working relationships with others; Appreciate the impact unstructured data has, and will have, on our data modelling deliverables; Learn basic UML concepts; Put data modelling in context with XML, metadata, and agile development. N° de réf. du vendeur 00110092402
Quantité disponible : 2 disponible(s)
Vendeur : Evergreen Goodwill, Seattle, WA, Etats-Unis
paperback. Etat : Good. N° de réf. du vendeur mon0000316880
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Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
Paperback. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0977140067I5N00
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Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0977140067I5N00
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Vendeur : Dream Books Co., Denver, CO, Etats-Unis
Etat : good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly! N° de réf. du vendeur DBV.0977140067.G
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Data issues don't always make the front page, yet they exist within every organisation. We need to improve how we manage data -- and the most valuable tool for explaining, vaildating and managing data is a data model. This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation; Read a data model of any size and complexity with the same confidence as reading a book; Build a fully normalised relational data model, as well as an easily navigatable dimensional model; Apply techniques to turn a logical data model into an efficient physical design; Leverage several templates to make requirements gathering more efficient and accurate; Explain all ten categories of the Data Model Scorecard®; Learn strategies to improve your working relationships with others; Appreciate the impact unstructured data has, and will have, on our data modelling deliverables; Learn basic UML concepts; Put data modelling in context with XML, metadata, and agile development. N° de réf. du vendeur CIN0977140067G
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Vendeur : Austin Goodwill 1101, Austin, TX, Etats-Unis
Etat : good. Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable. N° de réf. du vendeur CTXV.0977140067.G
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Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Paperback. Etat : 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! N° de réf. du vendeur S_467633002
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Vendeur : HPB-Emerald, Dallas, TX, Etats-Unis
Paperback. Etat : 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! N° de réf. du vendeur S_477046287
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Vendeur : Goodwill Books, Hillsboro, OR, Etats-Unis
Etat : acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included. N° de réf. du vendeur GICWV.0977140067.A
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