Scalability

Expectation Maximization (EM) uses database parallel processing to achieve excellent scalability, efficiently handling large data sets.

The Oracle Machine Learning for SQL implementation of Expectation Maximization uses database parallel processing to achieve excellent scalability. EM computations naturally lend themselves to row parallel processing, and the partial results are easily aggregated. The parallel implementation efficiently distributes the computationally intensive work across secondary processes and then combines the partial results to produce the final solution.