Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era
Summary: Argues that big-data systems’ lack of data independence and declarative specifications forces data scientists to hand-tune analyses for data and execution environments, hindering broad adoption. Calls for declarative analytics abstractions to restore database-style usability. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Volker Markl (Technical University of Berlin)
BibTeX Citation
@article{markl_vldb14,
title = {{Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era}},
author = {Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1730},
doi = {10.14778/2733004.2733075},
url = {https://doi.org/10.14778/2733004.2733075},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,049 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 6.9369379e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,196 | Spinning Fast Iterative Data Flows | 2012 | VLDB | 8.9704984e-05 |
| 2,354 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.7060612e-05 |
| 4,778 | ASTERIX: An Open Source System for "Big Data" Management and Analysis (Demo) | 2012 | VLDB | 6.5133529e-05 |
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