Fr. 67.00

Oracle Database 23ai Data Modeling and Schema Design for JSON-Relational Duality

English · Paperback / Softback

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Description

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The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications.

JSON-Relational Duality is a new concept that combines aspects of relational databases and document databases in one combined data model. Read Oracle Database 23ai Data Modeling and Schema Design for JSON-Relational Duality if you are a data professional who needs to expand your modeling skills to include Oracle 23ai JSON-Relational Duality or a technologist who works with either relational or document databases and want to learn how to benefit from combining both models.

We cover the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes (including keys); the three model levels of conceptual (align), logical (refine), and physical (design); and the three modeling perspectives of relational, dimensional, and query. Align is about agreeing on the common business vocabulary so everyone is aligned on terminology and general initiative scope. Refine is about capturing the business requirements. That is, refining our knowledge of the initiative to focus on what is essential. Design is about the technical requirements. That is, designing to accommodate our model's unique software and hardware needs.

If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book uses the same template, you can quickly skill up on additional database technologies.

Product details

Authors Pascal Desmarets, Beda Hammerschmidt, Steve Hoberman
Publisher Technics Publications
 
Languages English
Product format Paperback / Softback
Released 12.08.2024
 
EAN 9781634623636
ISBN 978-1-63462-363-6
No. of pages 238
Dimensions 152 mm x 229 mm x 14 mm
Weight 351 g
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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