Panda: A System for Provenance and Data

Abstract

Panda (for Provenance and Data) is a new project whose goal is to address some limitations in existing provenance systems. This short paper describes our overall plans for Panda, including: a model that fully integrates data-based and process-based provenance; a set of built-in operators for exploiting provenance after it has been captured; an ad-hoc query language over provenance together with data; supporting the range from fine-grained to coarse-grained provenance; and addressing optimization problems involving eager versus lazy evaluation and data caching.