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MapReduce-based Dimensional ETL Made Easy

Summary: ETLMR: a MapReduce-based dimensional ETL framework enabling scalable DW-style ETL with native star/snowflake and SCD support. End-to-end ETL flows are built with only a few lines of code, covering sources, targets, dimensions, facts, deployment, and scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10614
Venue
VLDB
Year
2012
Pagerank
-
Overall Rank
13,670 | 6.22%
DOI
10.14778/2367502.2367528

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Authors

BibTeX Citation

@article{liu_vldb12,
        title = {{MapReduce-based Dimensional ETL Made Easy}},
        author = {Liu, Xiufeng and Thomsen, Christian and Pedersen, Torben Bach},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1882--1893},
        doi = {10.14778/2367502.2367528},
        url = {https://doi.org/10.14778/2367502.2367528},
        year = {2012}
}

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