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Multi-Dimensional Modeling Modeling of Cubes, Dimensions, Levels and Hierarchies, Measures and slices Start from ROLAP, XMLA or from scratch Generate Oracle Analytical Workspaces Modeling DataTypes Support for SQL99 (Object Relational Modeling) Distinct Types (Predefined) Structured Types (Predefined) Collection Types Used in logical models Used in relational models Included on import Generated in DDL Physical Modeling One relational model for many physical models Supports Oracle Database 9i, 10g and 11g Microsoft SQL Server 20 IBM DB2/390 and DB2 LUW DDL file editor supports Design Rules Object selection Drop objects Table scriptsįorward and Reverse Engineering Each logical model to maps to one or more relational models Each relational model maps to one logical model Each relational model maps toone or more physical models Each physical model maps toone relational model Engineering options General Compare/copy Synchronization Relational Modeling Model tables, columns and FKs Create one logical for one or more relational models Support configurable forward and reverse engineering Logical Modeling Model entities, attributes and relations Support for Super type Sub types Transform one logical to many relational and multi-dimensional models Support for configurable forward and reverse engineering Oracle 9i, 10g, and Oracle Database 11g.
ORACLE SQL DEVELOPER DATA MODELER UPDATE
Oracle SQL Developer Data Modeler Supports a variety of visual models Entity Relationship (ERD) - supports Barker and Bachman notation (EAR) Relational DataTypes (SQL99) Multi-Dimensional Data Flow Records details for Physical implementation Business information Domains Imports from various sources DDL and Dictionary import from Oracle Database Oracle Designer repository DDL and data dictionary import from Microsoft SQL Server, IBM DB2/390 and DB2 LUW General JDBC based dictionary import for non-Oracle databases Ca Erwin Data Modeler Exports to various sources DDL for Oracle and non-Oracle databases Oracle Analytical Workspaces Multi-Dimensional XMLA formatĭata Modeler and the Audience Analysis (Logical – Platform independent) Gather data requirements without implementation detail Create and transform ERD to one or more relational designs Supports data analysts, enterprise and data architects Design (Physical) Create new or update engineered relational model Create one or more physical implementations from the relational model Generate DDL for implementation Supports database administrators Read-only Viewer Print diagrams and consult model properties Supports application developers, business and end users
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Why use Oracle SQL Developer Modeler? A single tool with different features and for different audiences and users A diagram is a powerful communication tool Logical Model for architects and users Relational model for developers Physical model for database administrators Viewer for all users Extend Oracle product suite Improve Application Development Will have better quality Are easier to maintain Have shorter Time to Market What is SQL Developer Data Modeler? A visual diagramming and data modeling tool A single tool for different users and functionality Data Architect to build logical data models Database Developer to model relational models (tables and columns) DBA to add tablespaces, partitions to the tables
ORACLE SQL DEVELOPER DATA MODELER FULL
Niche vendors provide full data lifecycle development.SQL Developer Data Modeler provides a competitive data modeling tool relative to best-of-breed niche providers.Oracle has a strong suite of Database Developer Tools.Strategic RationaleWhy are we in the Data Modeling Market? Kris Rice – Director of Development Oracle SQL Developer Data ModelerĪgenda Technical and Feature Review Focus on Developer Productivity Introduction to SQL Developer Data Modeler Audience Technology Review Features Update on Packaging