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Enabling Change Exploration: Vision Paper

Published: 14 May 2017 Publication History

Abstract

Data and metadata suffer many different kinds of change: values are inserted, deleted or updated; entities appear and disappear; properties are added or re-purposed, etc. Explicitly recognizing, exploring, and evaluating such change can alert to changes in data ingestion procedures, can help assess data quality, and can improve the general understanding of the dataset and its behavior over time. We propose a data model-independent framework to formalize such change. Our change-cube enables exploration and discovery of such changes to reveal dataset behavior over time.

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  • (2018)Exploring changeProceedings of the VLDB Endowment10.14778/3282495.328249612:2(85-98)Online publication date: 1-Oct-2018

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cover image ACM Conferences
ExploreDB'17: Proceedings of the ExploreDB'17
May 2017
36 pages
ISBN:9781450346740
DOI:10.1145/3077331
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 May 2017

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  • (2018)Exploring changeProceedings of the VLDB Endowment10.14778/3282495.328249612:2(85-98)Online publication date: 1-Oct-2018

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