Challenges and Opportunities with Big Data

Summary: Panel examining Big Data’s contested definition and the limitations of size-centric rhetoric. Brings together challenges, opportunities, and myths around data-driven decision-making, emphasizing broader technical and societal dimensions beyond scale. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10657
Venue: VLDB
Year: 2012
Pagerank: 6.2045676e-05
Overall Rank: 5,478 | 62.42%
DOI: 10.14778/2367502.2367521

Incoming Non-self Citations Over Time

Authors

1. Alexandros Labrinidis (University of Pittsburgh)
2. H. V. Jagadish (University of Michigan)

BibTeX Citation

@article{labrinidis_vldb12,
        title = {{Challenges and Opportunities with Big Data}},
        author = {Labrinidis, Alexandros and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {2032--2033},
        doi = {10.14778/2367502.2367521},
        url = {https://doi.org/10.14778/2367502.2367521},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,666	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	0.00010068964
3,387	Data Profiling – A Tutorial	2017	SIGMOD	7.4534663e-05
9,147	Stochastic Data Acquisition for Answering Queries as Time Goes by	2017	VLDB	5.3143718e-05
11,016	AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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