An Approach for Data Transformation In Homogeneous and Heterogeneous Information Systems

Hasan, Forat Falih; Bakar, Muhamad Shahbani Abu

doi:10.1109/hora52670.2021.9461287

Cited by 4 publications

(1 citation statement)

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“…This work has developed a set of operations to generate metadata information from any chosen dataset. Furthermore, to support various functions, all operations are based on the concept of a relational database [32], [33] and the codes are written based on the R programming language. The first operation is also the logical structure operation.…”

Section: Metadata Extractionmentioning

confidence: 99%

An approach for metadata extraction and transformation for various data sources using R programming language

Hasan

Bakar²

2022

IJEECS

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The metadata system is the key system for sharing and transforming data between various information systems (ISs), and each database system has its own structure for storing and retrieving metadata information. Metadata information must be extracted for data transformation. Furthermore, these procedures were required to communicate with each type of database system and retrieve the stored metadata; these processes required much information and effort. To overcome the challenge of accessing and extracting metadata from any type of data source, a unifomed method must be developed and integrated into any organization's information systems. The semi-structured data extraction method (SeDEM) is a developed method that includes three main operations: logical structure operation, unique key operation, and relationships operation. Finally, the accurate information obtained using the SeDEM addressed data quality issues concerning the integrity and completeness of the data transformation.

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Section: Metadata Extractionmentioning

confidence: 99%