Sap Se

Srinivasan Kumar

Anja Bog

Enakshi Singh

Kannan Avudai

Jeffrey Woody

Prasanthi Thatavarthy

Kimberly Starks

Michael Alexander

Shibajee Dutta Gupta

A processing tool is described that can evaluate a plurality of fields in a plurality of records and assign a scoring measure to each field based on the evaluation of each field. The scoring measures can provide an indication as to the uniqueness in content within each field, which can assist with determining one or more fields that are most useful for performing a search to identify similar records.

Domain agnostic similarity detection

Data including a text file is received. The text file is arranged in an extensible format and includes a plurality of metadata lines, a header line, and a plurality of content lines. Metadata from the metadata lines is mapped to a plurality of metadata tables in a database that are formed according to a relational database schema using prefix parameters from each metadata line. Content from the content lines is mapped to a plurality of content tables in the database that are formed according to the relational database schema using the header line. A first subset of the content tables have a static structure and a second subset of the content tables have a dynamic structure. Related apparatus, systems, techniques and articles are also described.

Mapping of extensible datasets to relational database schemas

A text file is received. The text file is arranged in an extensible format and includes a plurality of metadata lines, a header line, and a plurality of content lines. Keys are retrieved from the content lines. For each key, a data type and a number from at least one metadata table is retrieved. Using a combination of each key and the corresponding data type and number, a column title is derived. Upon verification that the derived column title does not already exist, a column for each key is generated in a content table having a dynamic structure in a relational database schema. The column has the derived column title, a column type based on the corresponding retrieved data type, and the number of generated columns determined by the corresponding retrieved number. The retrieved value is mapped into the column associated with the corresponding key.

Dynamic mapping of extensible datasets to relational database schemas

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Srinivasan Kumar