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Data Pipeline Manag...
Data Pipeline Management in Practice: Challenges and Opportunities
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- Munappy, Aiswarya Raj, 1990 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Department of Computer Science and Engineering, Chalmers University of Technology, Hörselgången 11, 412 96, Gothenburg, Sweden
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- Bosch, Jan, 1967 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Department of Computer Science and Engineering, Chalmers University of Technology, Hörselgången 11, 412 96, Gothenburg, Sweden
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- Holmström Olsson, Helena, 1975 (author)
- Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
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(creator_code:org_t)
- 2020-11-21
- 2020
- English.
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 12562, s. 168-184, s. 168-184
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Abstract
Subject headings
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- Data pipelines involve a complex chain of interconnected activities that starts with a data source and ends in a data sink. Data pipelines are important for data-driven organizations since a data pipeline can process data in multiple formats from distributed data sources with minimal human intervention, accelerate data life cycle activities, and enhance productivity in data-driven enterprises. However, there are challenges and opportunities in implementing data pipelines but practical industry experiences are seldom reported. The findings of this study are derived by conducting a qualitative multiple-case study and interviews with the representatives of three companies. The challenges include data quality issues, infrastructure maintenance problems, and organizational barriers. On the other hand, data pipelines are implemented to enable traceability, fault-tolerance, and reduce human errors through maximizing automation thereby producing high-quality data. Based on multiple-case study research with five use cases from three case companies, this paper identifies the key challenges and benefits associated with the implementation and use of data pipelines.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Mediateknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Media Engineering (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Keyword
- Organizational
- Opportunities
- Data quality
- Data pipelines
- Challenges
- Issues
- Infrastructure
Publication and Content Type
- kon (subject category)
- ref (subject category)
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