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)
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Authors
- 1. Xiufeng Liu (Aalborg University)
- 2. Christian Thomsen (Aalborg University)
- 3. Torben Bach Pedersen (Aalborg University)
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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