DBScholar

Back to papers

A Hadoop Based Distributed Loading Approach to Parallel Data Warehouses

Summary: Hadoop as distributed ETL loader to Teradata EDW, leveraging HDFS for scalable, parallel loading. Polynomial-time optimal and approximate HDFS-block to Teradata-unit assignment minimizes network traffic; MapReduce enables transformation of un/ semi-structured data; experiments show gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4521
Venue
SIGMOD
Year
2011
Pagerank
5.9170938e-05
Overall Rank
6,312 | 56.70%
DOI
10.1145/1989323.1989440

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xu_sigmod11,
        title = {{A Hadoop Based Distributed Loading Approach to Parallel Data Warehouses}},
        author = {Xu, Yu and Kostamaa, Pekka and Qi, Yan and Wen, Jian and Zhao, Kevin Keliang},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989440},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989440},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,739 Split Query Processing in Polybase 2013 SIGMOD 9.8814935e-05
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