Intelligent Structure Discovery

determines the underlying patterns and structures of the input that you provide for the model and creates a model that can be used to transform, parse, and generate output groups.

Long, complex files with little or no structure can be difficult to parse.

Intelligent Structure Discovery

can automatically decipher input data and discover the patterns, repetitions, relationships, and types of data in unstructured files.

After

intelligent structure

discovers the structure of the data, you can refine and test the structure, and then save or export it. When you save or export an

intelligent structure

,

Intelligent Structure Discovery

creates an

intelligent structure

model in an

.amodel

file.

Intelligent Structure Discovery

creates a model that expresses the expected output data. You can use an

intelligent structure model

in mappings to parse unstructured, semi-structured, or structured data.

You can create models from the following input types:

Text files, including delimited files such as CSV files and complex files that contain textual hierarchies
Machine generated files such as weblogs and clickstreams
JSON files
XML files
ORC files
Avro files
Parquet files
Microsoft Excel files
Data within PDF form fields
Data within Microsoft Word tables
XSD files
Cobol copybooks