DBScholar

Back to papers

Data Wrangling: The Challenging Journey from the Wild to the Lake

Summary: Characterizes data-wrangling pain points for data lakes—difficulties in acquisition, interpretation, description, maintenance, provenance, governance and scaling as sources multiply. Advocates shifting from “raw” lakes to curated data lakes via systematic curation, metadata, quality and governance pipelines to enable truly usable ad‑hoc analytics beyond enterprise IT. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
261
Venue
CIDR
Year
2015
Pagerank
9.4326202e-05
Overall Rank
1,947 | 86.65%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{terrizzano_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Data Wrangling: The Challenging Journey from the Wild to the Lake}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Terrizzano, Ignacio and Schwarz, Peter and Roth, Mary and Colino, John E.},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers