This New York City - based start - up — whose name is a play on the word humongous — processes huge data sets in a fraction of the time
it takes traditional databases.
Not exact matches
It will
take a long time for
traditional recruiters to rebuild the non-compliant
databases they have filled with historic and irrelevant information in order to wean them off a lifetime habit and learn to abide by entirely different workflow practices.
A way of partitioning data into subsets that
takes its inspiration from
traditional databases, the idea is that each node will only have to store a small chunk of the total network.