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Database Applications

Database Applications. DB + application programs running on a DBMS Purpose: to satisfy end-user needs Traditional applications: business data processing Advanced business applications Decision support Workflow (office automation) Nontraditional applications

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Database Applications

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  1. Database Applications • DB + application programs running on a DBMS • Purpose: to satisfy end-user needs • Traditional applications: business data processing • Advanced business applications • Decision support • Workflow (office automation) • Nontraditional applications • Design (buildings, bridges, telecommunications, software) • AI (knowledge representation, autonomous agents, data mining) • Multimedia (video clips, spatial data, content-based image retrieval) • WWW (search engines, digital libraries, electronic commerce) • Business Reengineering (change management, workflow evolution)

  2. Inadequacy of Standard Programming Languages • Building advanced applications requires too much work. • Standard programming languages lack: • Persistence • Data modeling • DB system features • crash recovery • integrity checking • security • concurrency control • query optimization • file organization and optimization

  3. Inadequacy of TraditionalDatabase Systems • Building advanced applications requires too much work. • Problems with traditional DBs • Tuned for data processing • simple records • short-duration transactions • Lack support for • complex data (large objects, multimedia) • behavior modeling (complex operations, active behavior) • long-running interactions • time-based data and version control

  4. Object Technology • Unifying paradigm • Models both data and behavior. • Integrates programming languages and databases. • Provides a direct real-world view • 1-1 correspondence between actual and represented objects. • Simulation of real-world object behavior. • Wide range of characteristics. • simple / complex • passive / reactive / proactive • lacking intelligence / exhibiting intelligence • stable / changeable / adaptable

  5. Database Application Development • Model objects – their relationships, behavior, and interactions. • Transform modeled objects into an implementation. • Approach • systematic, rigorous, model-driven • tool support based on concepts and principles • Requirements • knowledgeable developer • a model that is formal, seamless, language-equivalent, and ontological

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