Data Identification Challenges and Considerations Security Measures
Author(s): Anand Athavale
Publication #: 2502049
Date of Publication: 12.11.2021
Country: USA
Pages: 1-5
Published In: Volume 7 Issue 6 November-2021
DOI: https://doi.org/10.5281/zenodo.14866585
Abstract
Data as a term gets used in so many ways and so many levels of granularity that a lot of problem descriptions, regulations, best practices and even solution descriptions make non-practioners think of it as an easily identifiable entity. However, there are numerous challenges to be handled just for referring to, or, giving additional information about data, often termed as metadata. Any attribute, information, or activity to be indicated on a data needs an identifier to accurately denote the “data” for which any of these are being captured and shown. Various data types combined with data location makes the identification issue more complex. If not handled properly, IT practitioners using different applications may not necessarily be aware, or, be confident whether the IT practitioners or the applications are in fact referring to the same “data” item. Recent developments in object storage have made this issue further invisible, but the challenges of data identification are real and those have a serious impact on the choice and effectiveness of data management applications.
Keywords: Data Identifier, hash, application integration, data transformation, data migration, data layout
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