Turn unfielded or inconsistent data into an organized database
RightFielder Object will standardize inconsistently entered data, run-on lines
of text containing multiple data types, or data with no structure at all. The
multiplatform data management tool can be invaluable in handling legacy data,
data migration; and integration efforts.
2 Parsing Engines to Identify, Extract, and Organize Data
Fielded Parsing: This parsing logic is used when the input
data is consistently delimited into fields, but the contents of those fields are
unknown. RightFielder reorganizes the data into new columns each with a single
data type.
FreeForm Parsing: RightFielder’s powerful entity recognition and
identification algorithms allow extraction of contact information from free form
or unfielded textual data. The parsing logic analyzes the input data, recognizes
where fields begin and end, and assigns the contents to the correct output
property.
Data Types Recognized
RightFielder recognizes up to three lines of street addresses, city, state,
postal code and country. RightFielder recognizes and extracts multiple instances
of these data types: personal names; company and department names; email and Web
addresses; and phone numbers.
RightFielder also provides the flexibility to define and re-field custom data
types like social security numbers (SSN), IP addresses, dates, and proprietary
account number formats.
Technical Information
• RightFielder Object is a 64 Bit multiplatform developer’s library available for Windows 2003/2008/7/Vista, Linux Red Hat 8.0 (gcc 3.3), Solaris 8,9,10, SPARC platform, AIX 5.2, 5.3, POWER, rs/6000, PPC, and HPUX versions 11.11, 11.23, PA-RISC,
and Itanium.
• For a listing of technical support included with your purchase, click here.
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