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The Trio System for Data, Uncertainty, and Lineage: Overview and Demo

UNCERTAINTY. LINEAGE. DATA. The Trio System for Data, Uncertainty, and Lineage: Overview and Demo. Anish Das Sarma Stanford University. Original Motivation for the Project. New Application Domains Many involve data that is uncertain

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The Trio System for Data, Uncertainty, and Lineage: Overview and Demo

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  1. UNCERTAINTY LINEAGE DATA The Trio System for Data, Uncertainty, and Lineage: Overview and Demo Anish Das Sarma Stanford University

  2. Original Motivation for the Project New Application Domains • Many involve data that is uncertain • (approximate, probabilistic, inexact, incomplete, imprecise, fuzzy, inaccurate,...) • Many of the same ones need to track the lineage (provenance) of their data

  3. Original Motivation for the Project New Application Domains • Many involve data that is uncertain • (approximate, probabilistic, inexact, incomplete, imprecise, fuzzy, inaccurate,...) • Many of the same ones need to track the lineage (provenance) of their data Neither uncertainty nor lineage is supported in current database systems

  4. Sample Applications • Data integration • Information extraction • Scientific experiments • Sensor data management • Deduplication (“data cleaning”) • Approximate query processing

  5. Our Goal • Develop a new kind of database management system (DBMS) in which: • Data • Uncertainty • Lineage • are all first-class interrelated concepts • With all the “usual” DBMS features

  6. Another “Trio” in Trio • Data Model • Simplest extension to relational model that’s sufficiently expressive • Query Language • Simple extension to SQL with well-defined semantics and intuitive behavior • System • A complete open-source DBMS that people want to use

  7. Another “Trio” in Trio • Data Model • Uncertainty-Lineage Databases (ULDBs) • Query Language • TriQL • System • Trio-One— built on top of standard DBMS

  8. Demo

  9. Ongoing and Future Work • Efficient Confidence Computation • Top-K Queries • Aggregation • External Lineage • Data Modifications and Versioning • Continuous Uncertainty • Dependency Theory for ULDBs • Marrying Trio and Bayes Nets • System Development and Applications

  10. Trio Players, Present and Past • Current • Jennifer Widom, Jeffrey Ullman • Parag Agrawal, Anish Das Sarma, Raghotham Murthy, Martin Theobald • Alums • Omar Benjelloun, Ashok Chandra, Julien Chaumond, Alon Halevy, Chris Hayworth, Ander de Keijzer, Michi Mutsuzaki, Shubha Nabar, Tomoe Sugihara

  11. Thank you! Search “stanford trio”

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