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About Parveen Aggarwal

This article has been contributed by (Mr.) Parveen Aggarwal, Technical Consultant to DSL India (http://www.daffodildb.com). With more than 6 years of industry experience in Java and allied technologies, he has an in-depth understanding of J2EE, J2ME and database management systems. Parveen is currently working on the concept of data-archiving in embedded databases. He can be contacted at parveenaggarwal@hotmail.com
Performance Tuning of a Daffodil DB / One$DB -JDBC Application

This article illustrates the best practices to improve the performance of Daffodil DB / One$DB JDBC Driver.

Daffodil DB: Web Database

What is a Web Database? A web database is a database for the internet. You can get access to your data via the internet from anywhere in the world. Or, you can create a database driven website by using such databases. A web database stores large amount of information in an organized format that is easily accessible from scripting languages (like PHP).

Embedded Databases
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An Embedded database is a specific database genus that does not run as a separate process, instead, it is directly linked (“embedded”) into the application. Herein, the database is integrated into the application and the end-user has little or no knowledge that the database exists. Embedded databases are sometimes referred to as “fire and forget” or “implement and forget” databases, since they require no or minimal database administration.

Why Java RDBMS?
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It is a well known fact that Java as a programming language set off a new paradigm in the software industry.

Reduce TCO: The Java Database Way

TCO (Total Cost Ownership) is the buzzword in today’s business world. This metric helps enterprise managers assess direct and indirect costs and benefits derived from their investment on IT components and services. A vital component of overall TCO is database management. All information-centric applications need databases for data storage. Also, the storage demands of small and mid-sized companies are growing rapidly, as more emphasis is given on data backup and long-term archival of data disaster recovery.