Abstract: An input data set with a plurality of item descriptors comprising respective time series observations is identified. A routing directive indicating a predicate to be evaluated to determine whether a particular item descriptor is to be included in a training data set for a first learning algorithm is obtained. A plurality of learning algorithms are trained using training data sets derived from the input data set according to respective routing directives, and the trained algorithms are stored.

Abstract: According to some embodiments, a column-oriented in-memory database structure may be established. The database structure may, for example, include a main store and a dictionary compressed delta store. Moreover, the delta store may comprise a value identifier vector and a delta dictionary associated with a column of the database. A transaction associated with the column may then be received and recorded within the delta store. According to some embodiments, entries associated with the transaction may be added to a value log of the value identifier vector and, independently, to a dictionary log of the delta dictionary.