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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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A domain-specific language for managing ETL processes.

Aleksandar Popović1, Vladimir Ivković2, Nikola Trajković3

  • 1Faculty of Science and Mathematics, University of Montenegro, Podgorica, Montenegro.

Peerj. Computer Science
|March 4, 2024
PubMed
Summary
This summary is machine-generated.

Data Warehouse (DW) maintenance is complex due to technology dependencies. A new domain-specific language (DSL) simplifies DW maintenance by creating a platform-independent solution for managing data extraction, transformation, and loading (ETL) processes.

Keywords:
Data warehouseDomain-specific languageExtraction transformation and loadingModel-driven developmentPlatform-independent models

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Area of Science:

  • Computer Science
  • Information Systems

Background:

  • Data Warehouse (DW) system maintenance is critical for business continuity.
  • Current solutions face challenges due to platform, ETL tool, and database language dependencies.
  • Inconsistent DW systems complicate maintenance and require significant code changes for structural updates.

Purpose of the Study:

  • To propose a domain-specific language (DSL) for managing data extraction, transformation, and loading (ETL) processes.
  • To simplify and centralize DW system maintenance by decoupling it from specific technologies.
  • To enable a unified environment for controlling DW processes across diverse platforms and tools.

Main Methods:

  • Development of a platform-independent domain-specific language (DSL).
  • Centralization of all program logic within the DSL.
  • Design for compatibility with various DW platforms, ETL tools, and database languages.

Main Results:

  • The proposed DSL mitigates maintenance complexities by abstracting platform-specific details.
  • Centralized program logic simplifies the management of ETL processes.
  • The DSL facilitates the creation of a unified DW control environment.

Conclusions:

  • A DSL offers a simplified approach to Data Warehouse maintenance.
  • Platform independence in ETL process management reduces complexity and enhances adaptability.
  • The proposed DSL enables more efficient and unified control over DW operations.