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

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Presentation on theme: "The Trio System for Data, Uncertainty, and Lineage: Overview and Demo"— Presentation transcript:

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

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 Query Language System
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 Query Language System
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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