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Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers
13 references·0 citing·52 second hop
Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers (2023)Data pipeline quality: Influencing factor…An Overview of Current Trends in Data Ingestion and Integration (2021)An Overview of Current Trends…Lessons Learned: A Case Study in Creating a Data Pipeline using Twitter’s API (2020)Lessons Learned: A Case Study…Improving reproducibility of data science pipelines through transparent provenance capture (2020)Improving reproducibility of …Determinants of information system quality and data quality in management accounting (2020)Determinants of information s…Data Pipeline Management in Practice: Challenges and Opportunities (2020)Data Pipeline Management in P…Capturing and querying fine-grained provenance of preprocessing pipelines in data science (2020)Capturing and querying fine-g…BugDoc: A System for Debugging Computational Pipelines (2020)BugDoc: A System for Debuggin…An Iterative Methodology for Defining Big Data Analytics Architectures (2020)An Iterative Methodology for …Data quality in internet of things: A state-of-the-art survey (2016)Data quality in internet of t…Big data preprocessing: methods and prospects (2016)Big data preprocessing: metho…A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing (2010)A Descriptive Classification …Factors influencing organizations to improve data quality in their information systems (2007)Factors influencing organizat…Data quality issues in implementing an ERP (2002)Data quality issues in implem…Qualitative research and evaluation methods (1980)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)THE FACTORS THAT SUPPORT THE IMPLEMENTATION OF ACCOUNTING INFORMATION SYSTEM: A SURVEY IN BANDUNG AND JAKARTA’S TAXPAYER OFFICES (2012)What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes? 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References

  • 2016Big data preprocessing: methods and prospects714 cited
  • 2016Data quality in internet of things: A state-of-the-art survey377 cited
  • 2002Data quality issues in implementing an ERP184 cited
  • 2020Determinants of information system quality and data quality in management accounting87 cited
  • 2010A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing77 cited
  • 2020Data Pipeline Management in Practice: Challenges and Opportunities66 cited
  • 2007Factors influencing organizations to improve data quality in their information systems63 cited
  • 2020Improving reproducibility of data science pipelines through transparent provenance capture43 cited
  • 2020Capturing and querying fine-grained provenance of preprocessing pipelines in data science35 cited
  • 2020An Iterative Methodology for Defining Big Data Analytics Architectures17 cited
  • 2021An Overview of Current Trends in Data Ingestion and Integration17 cited
  • 2020BugDoc: A System for Debugging Computational Pipelines15 cited
  • 2020Lessons Learned: A Case Study in Creating a Data Pipeline using Twitter’s API5 cited

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