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Scalable lineage capture for debugging DISC analytics
2 references·12 citing·31 second hop
Scalable lineage capture for debugging DISC analytics (2013)Scalable lineage capture for debugging DI…Putting lipstick on pig (2011)Putting lipstick on pigProvenance for Generalized Map and Reduce Workflows (2011)Provenance for Generalized Ma…Augmented lineage: traceability of data analysis including complex UDF processing (2022)Augmented lineage: traceabili…LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems (2021)LIMA: Fine-grained Lineage Tr…Improving reproducibility of data science pipelines through transparent provenance capture (2020)Improving reproducibility of …Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP (2020)Capturing and Analyzing Prove…SAC: A System for Big Data Lineage Tracking (2019)SAC: A System for Big Data Li…Fine-Grained Provenance for Matching & ETL (2019)Fine-Grained Provenance for M…End-to-End Entity Resolution for Big Data: A Survey (2019)End-to-End Entity Resolution …A Practical Roadmap for Provenance Capture and Data Analysis in Spark-Based Scientific Workflows (2018)A Practical Roadmap for Prove…LAMP: data provenance for graph based machine learning algorithms through derivative computation (2017)LAMP: data provenance for gra…Diagnosing Machine Learning Pipelines with Fine-grained Lineage (2017)Diagnosing Machine Learning P…Adding data provenance support to Apache Spark (2017)Adding data provenance suppor…Decoupling provenance capture and analysis from execution (2015)Decoupling provenance capture…A survey of data provenance in e-science (2005)Lineage retrieval for scientific data processing: a survey (2005)Provenance and scientific workflows (2008)Big Data Provenance: Challenges and Implications for Benchmarking (2013)Big data provenance: Challenges, state of the art and opportunities (2015)Chimera: a virtual data system for representing, querying, and automating data derivation (2002)Taverna: a tool for building and running workflows of services (2006)Taverna: lessons in creating a workflow environment for the life sciences (2005)Provenance Supporting Hyperparameter Analysis in Deep Neural Networks (2021)Metadata Representations for Queryable Repositories of Machine Learning Models (2023)Titian (2015)Titian: Data Provenance Support in Spark. (2015)Efficient lineage tracking for scientific workflows (2008)Querying and Managing Provenance through User Views in Scientific Workflows (2008)A Theory for Record Linkage (1969)Adaptive duplicate detection using learnable string similarity measures (2003)Duplicate Record Detection: A Survey (2006)Provenance for Computational Tasks: A Survey (2008)Towards supporting the life cycle of large scale scientific experiments (2010)2013 IEEE International Conference on Big Data (2013)Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability (2023)VisTrails (2006)Artificial intelligence faces reproducibility crisis (2018)Reproducibility vs. Replicability: A Brief History of a Confused Terminology (2018)Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers (2023)An LLM-guided platform for multi-granular collection and management of data provenance (2025)Scientific workflow management and the Kepler system (2005)Incremental knowledge base construction using DeepDive (2015)Integrated Reproducibility with Self-describing Machine Learning Models (2023)Use of big data governance in several corporate sectors (2021)Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance (2024)
this work references cited by second hop

References

  • 2011Putting lipstick on pig117 cited
  • 2011Provenance for Generalized Map and Reduce Workflows99 cited

Cited by

  • 2020Improving reproducibility of data science pipelines through transparent provenance capture43 cited
  • 2019End-to-End Entity Resolution for Big Data: A Survey34 cited
  • 2021LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems30 cited
  • 2017Adding data provenance support to Apache Spark29 cited
  • 2019SAC: A System for Big Data Lineage Tracking26 cited
  • 2020Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP25 cited
  • 2017LAMP: data provenance for graph based machine learning algorithms through derivative computation20 cited
  • 2017Diagnosing Machine Learning Pipelines with Fine-grained Lineage17 cited
  • 2018A Practical Roadmap for Provenance Capture and Data Analysis in Spark-Based Scientific Workflows13 cited
  • 2019Fine-Grained Provenance for Matching & ETL10 cited
  • 2022Augmented lineage: traceability of data analysis including complex UDF processing9 cited
  • 2015Decoupling provenance capture and analysis from execution8 cited

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