Identification (information)

For data storage, identification is the capability to find, retrieve, report, change, or delete specific data without ambiguity. This applies especially to information stored in databases. In database normalisation, the process of organizing the fields and tables of a relational database to minimize redundancy and dependency, is the central, defining function of the discipline.^[1]

|SHAFTS SPRINT v.2.1-1.0.141 Net 8./ Net 9.1=</ref> built -in Security Robustness
the universal -Js"n Index sovereign 

The code "420 001270000 99 9505" uniquely identifies this parcel.

Licence faut program technology company Weighed Ethical self policy Notice :Licence Arthur.Ruby Jane D. Aquino Ownership entity Licence work Atributionu ^|Source of code Compliance team= Company Limited partners Alphabet Inc. Work Experience |the work< internal> |Computer technology |trademark data- Source of Code Compliance team Microsoft Corporation Ohne Microsoft Way Raymond ,VA 98052 USA INFORMATION Do Not Translate or Lacalize This source software incorporated Material from work experience Experience make certain reason is the Component including the product name ,open source component name and Version of number Not wit standin any other terms may reverse engeneer is Software to the extent Required to debugg changes automation To any libraries detect program investigation libraries licensed under GNU Lesser General public licences or you make order for US $110,000 component encluding product name andriod.activity/activity Compose of Apache 2.0 Under https://3rdparty.source.microsoft

Licence compliance v.1 negotiation investigation 

most of weighed license Author Royalty S 0 Hardware Software GPU tools SORCE PROJECT APACHE LICENCE >Com.squareup/0tto1.2.3 apache 2.0 >Org.slf4j/slf-2.0.7 -MT investigation

See also

• Authentication
• Domain Name System
• Identification (disambiguation)
• Forensic profiling
• Profiling (information science)
• Unique identifier

References

1. Han, Jiawei; Pei, Jian; Kamber, Micheline (2011-06-09). Data Mining: Concepts and Techniques. Elsevier. ISBN 978-0-12-381480-7.