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Oracle SQL Developer Data Modeler for Database Design Mastery
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Oracle SQL Developer Data Modeler for Database Design Mastery

by Heli Helskyaho

Book Details

Format Paperback / Softback
ISBN-10 0071850090
ISBN-13 9780071850094
Publisher McGraw-Hill Education - Europe
Imprint McGraw-Hill Inc.,US
Country of Manufacture US
Country of Publication GB
Publication Date Jun 16th, 2015
Print length 336 Pages
Weight 532 grams
Dimensions 23.20 x 30.00 x 2.30 cms
Product Classification: Oracle
Ksh 11,900.00 Werezi Extended Catalogue

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Design world-class databases with this powerful free tool. This book provides best practices for planning, executing, installing, deploying, and maintaining any kind of database of any size. The author contrasts the ease of functionality and compatibility of Oracle SQL Developer Data Modeler against expensive third-party solutions.

Publisher''s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.



Design Databases with Oracle SQL Developer Data Modeler

In this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler—the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2. Oracle SQL Developer Data Modeler for Database Design Mastery covers requirement analysis, conceptual, logical, and physical design, data warehousing, reporting, and more. Create and deploy high-performance enterprise databases on any platform using the expert tips and best practices in this Oracle Press book.

  • Configure Oracle SQL Developer Data Modeler
  • Perform requirement analysis
  • Translate requirements into a formal conceptual data model and process models
  • Transform the conceptual (logical) model into a relational model
  • Manage physical database design
  • Generate data definition language (DDL) scripts to create database objects
  • Design a data warehouse database
  • Use subversion for version control and to enable a multiuser environment
  • Document an existing database
  • Use the reporting tools in Oracle SQL Developer Data Modeler
  • Compare designs and the database

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