The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

I'm sure Oracle's analytic functions can handle this, but I'm having a hard time wrapping my head around the syntax. If anyone has another solution, I'd be happy to hear it too.Here's a sample ...

Now Teradata is making a "big data" play. The Aster SQL-MapReduce framework combines SQL with prepackaged MapReduce modules that are executed through an integrated Hadoop environment.

We deal with a method of enhanced convergence for the approximation of analytic functions. This method introduces conformal transformations in the approximation problems, in order to help extract the ...

In this paper we provide some conditions such that by integrating rational functions, with coefficients in the class of functions of Lipschitz type defined on compact subsets of the Tate field, ...