Implement practical applications in the area of OLAP, data mining and data warehousing using SQL-AG. The Apriori algorithm and Bayesian classifiers application are just a few of the applications for which SQL-AG could be used. Such use will define the utility of the system, along with a test of its performance. SQL-AG can be extended by providing support of SQL-AG on other systems. Rather than using PL/SQL, possibilities of using some other language like JDBC that can provide fast computation and close integration to database should be studied. Performance of SQL-AG can be improved by having an implementation using a closer integration to SQL engine. Use of application specific optimizations and the role of user-defined aggregates in extensible databases also deserve further investigation.