Abstract
Corporate data consists of structured data and unstructured data. Unstructured data consists of repetitive and nonrepetitive data. The separation between repetitive data and nonrepetitive data can be called the: great divide”. Repetitive Big Data is centric to Hadoop, where most of the activities include data management functions for very large amounts of data. Nonrepetitive data is data that is organized around textual disambiguation, including such functions as sub doc processing, inline contextualization, taxonomical resolution, acronym resolution, standardization, stop word processing, homographic resolution, proximity resolution, and other functions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Data Architecture: A Primer for the Data Scientist
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.