Join Professor Christopher Jermaine from Rice University for a talk that describes the SimSQL System, a platform for writing and executing machine-learning codes. Since SimSQL is at its heart a relational database system, it is designed to support data independence. That is, the same declarative statistical inference codes can be used regardless of data set size, computer hardware, and physical data storage and distribution across machines.
One concern is that a platform supporting data independence in this way will not perform well. Professor Jermaine has participated in extensive experimentation and found that SimSQL performs as well as other competitive platforms that support writing and exeucting machine-learning codes for large data sets.