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A Survey on Quality Assurance Techniques for Big Data Applications
3 references·1 citing·14 second hop
A Survey on Quality Assurance Techniques for Big Data Applications (2017)A Survey on Quality Assurance Techniques …Challenges and Techniques for Testing of Big Data (2016)Challenges and Techniques for…Big Data Validation and Quality Assurance -- Issuses, Challenges, and Needs (2016)Big Data Validation and Quali…A reference architecture for big data systems in the national security domain (2016)A reference architecture for …Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data (2018)Empirical Analysis of Recent …Data quality in context (1997)Data quality assessment (2002)The Challenges of Data Quality and Data Quality Assessment in the Big Data Era (2015)Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review (2020)Development of Usability Enhancement Model for Unstructured Big Data Using SLR (2021)Towards Improved Data Analytics Through Usability Enhancement of Unstructured Big Data (2021)Big data: The next frontier for innovation, competition, and productivity (2011)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks (2017)Open-Source Big Data Analytics Architecture for Businesses (2019)The State of Big Data Reference Architectures: A Systematic Literature Review (2022)A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics (2018)Benchmarking Business Analytics Techniques in Big Data (2019)
this work references cited by second hop

References

  • 2016Big Data Validation and Quality Assurance -- Issuses, Challenges, and Needs104 cited
  • 2016A reference architecture for big data systems in the national security domain45 cited
  • 2016Challenges and Techniques for Testing of Big Data36 cited

Cited by

  • 2018Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data8 cited

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