e-Biz Impact supports these data structures for incoming and outgoing data:
Stream-to-stream Default. Parses binary large object (blob) data as input, generates blob data as output.
blobs can contain any binary or ASCII
data, for example, large text files, data processing documents,
CAD program files, graphics and images, videos, music files, and
so on. blobs are defined as table columns. Their
memory size is nearly unlimited as they can be stored across several pages.
Stream-to-tree Parses blob data as input, generates an output New Era Data Object (NDO) tree.
NDO
is a generic structure that allows named data with hierarchy, data
typing, optionality, and repetition. NDO is composed of two trees:
a data tree and a schema tree. A data tree has two data nodes, each
of which can contain one item of data, which can be of several different
types. It also contains an unlimited number of attributes, which
are name-value pairs. A schema tree has schema nodes, which contain
metadata describing the organization of a document represented by
a data node.
Tree-to-stream Parses NDO data tree as input, generates blob data on output.
Tree-to-tree Parses NDO data tree as input, generates a new NDO tree as output.
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