Michael Keith
Abstract
In the early 1990s, when object-oriented languages emerged into the mainstream of software development, a noticeable surge in productivity occurred as developers saw new and better ways to create software programs. Although the new and efficient object programming paradigm was hailed and accepted by a growing number of organizations, relational database management systems remained the preferred technology for managing enterprise data. Thus was born ORM (object-relational mapping), out of necessity, and the complex challenge of saving the persistent state of an object environment in a relational database subsequently became known as the object-relational impedance mismatch.
- Fernandez, J., Fernandez, A., Pazos, J. 2005. Optimizing Web services performance using caching. International Conference on Next Generation Web Services Practices. Google Scholar
Digital Library
- Fowler, M. 2004. Patterns of Enterprise Application Architecture. Addison-Wesley. Google ScholarDigital Library
- Keith, M., Schincariol, M. 2006. Pro EJB 3: Java Persistence API. Apress. Google ScholarDigital Library
Index Terms
- Exposing the ORM Cache: Familiarity with ORM caching issues can help prevent performance problems and bugs.
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