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Tatiana von Landesberger, Dieter W Fellner, Roy A Ruddle

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    This summary is machine-generated.

    This study characterizes user needs for data processing pipeline design and optimization. It matches these requirements with visualization tools, aiding end-users and developers, and identifies future research challenges.

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    Area of Science:

    • Data Science
    • Human-Computer Interaction
    • Scientific Visualization

    Background:

    • Increasing data volume and complexity necessitate efficient data processing pipelines.
    • Existing visualization tools offer parameter analysis but lack systematic requirement matching for pipeline optimization.
    • A gap exists in understanding user requirements for designing and optimizing data processing pipelines.

    Purpose of the Study:

    • To present a novel characterization of requirements for data processing pipeline design and optimization.
    • To bridge the gap between user needs and available visualization functionalities.
    • To identify future research directions in visualization for data processing.

    Main Methods:

    • Literature review on visualization for data processing.
    • First-hand assessment of eight diverse application case studies.
    • Matching identified user requirements with exemplar functionalities of existing visualization tools.

    Main Results:

    • A new framework for characterizing requirements in data processing pipeline design and optimization.
    • Identification of specific visualization functionalities that address end-user needs.
    • A curated list of seven future challenges for visualization research in this domain.

    Conclusions:

    • The proposed characterization aids end-users and developers in selecting appropriate visualization tools for data processing challenges.
    • Existing visualization tools can be better leveraged by aligning their functionality with specific application requirements.
    • Significant opportunities exist for advancing visualization research to meet the evolving demands of complex data processing.