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Dagger: A Data (not code) Debugger
2020
Conference on Innovative Data Systems Research
With the democratization of data science libraries and frameworks, most data scientists manage and generate their data analytics pipelines using a collection of scripts (e.g., Python, R). This marks a shift from traditional applications that communicate back and forth with a DBMS that stores and manages the application data. While code debuggers have reached impressive maturity over the past decades, they fall short in assisting users to explore data-driven what-if scenarios (e.g., split the
dblp:conf/cidr/RezigCSSMTOS20
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