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The Future of Data Integration
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The Future of Data Integration (2012)The Future of Data IntegrationSparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching (2023)Sparkly: A Simple yet Surpris…Influence of Industry 4.0 on strategies of companies entering the global market of data integration services (2023)Influence of Industry 4.0 on …People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks (2022)People, infrastructure, and d…Discovering Conditional Matching Rules (2017)Discovering Conditional Match…Requirements Driven Data Warehouse Design: We Can Go Further (2014)Requirements Driven Data Ware…The merge/purge problem for large databases (1995)Duplicate Record Detection: A Survey (2006)Principles of Data Integration (2012)A Survey on Sampling and Profiling over Big Data (Technical Report) (2020)Data Dependencies Extended for Variety and Veracity: A Family Tree (2020)The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses (1998)Building a Data Warehouse (2008)Creating and maintaining high‐performing collaborative research teams: the importance of diversity and interpersonal skills (2014)Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions (2018)The CARE Principles for Indigenous Data Governance (2020)Impact of big data analytics in project success: Mediating role of intellectual capital and knowledge sharing (2023)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Data Matching (2012)Deep Learning for Entity Matching (2018)A formal definition of Big Data based on its essential features (2016)The Fourth Industrial Revolution (2017)Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review (2019)
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  • 2023Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching37 cited
  • 2017Discovering Conditional Matching Rules32 cited
  • 2023Influence of Industry 4.0 on strategies of companies entering the global market of data integration services14 cited
  • 2014Requirements Driven Data Warehouse Design: We Can Go Further14 cited
  • 2022People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks10 cited

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