A CONCEPTUAL MODEL FOR THE ORGANIZATION AND STORAGE OF METADATA FOR DATA FROM INTERNET SOURCES
Snezhana Sulova ()
HR and Technologies, 2021, issue 2, 3-14
Data from internet sources, as well as their processing methods, is a prominent area of study. The evolution of web services and concepts that have developed with the growth of the Internet, as well as the widespread use of the world wide web and the wide variety of sensors and mobile devices have led to the Internet becoming a rich data source. In order to process and analyze this data, modern approaches and architectural solutions for their management are needed. The heterogeneous nature and specificity of Internet data requires the use of repositories, where the data can be organized and stored based on a pre-established management concept. In this regard, this article offers a model for organizing and storing metadata to help successfully manage data extracted from Internet sources. Such a model is a good basis for building data management architecture from heterogeneous sources that will support companies in analyzing and improving their business intelligence strategies.
Keywords: metadata; data; internet sources; data lake (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:arb:journl:y:2021:i:2:p:3-14
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