The ETLMR MapReduce-Based ETL Framework

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2 Citations (Scopus)

Abstract

This paper presents ETLMR, a parallel Extract--Transform--Load (ETL) programming framework based on MapReduce. It has built-in support for high-level ETL-specific constructs including star schemas, snowflake schemas, and slowly changing dimensions (SCDs). ETLMR gives both high programming productivity and high ETL scalability.
Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Scientific and Statistical Database Management
EditorsJudith Bayard Cushing, James French, Shawn Bowers
Number of pages3
Volume6809
Publication date2011
Pages586-588
DOIs
Publication statusPublished - 2011
Event23rd Scientific and Statistical Database Management Conference (SSDBM) - Portland, United States
Duration: 20 Jul 201122 Jul 2011

Conference

Conference23rd Scientific and Statistical Database Management Conference (SSDBM)
Country/TerritoryUnited States
CityPortland
Period20/07/201122/07/2011
SeriesLecture Notes in Computer Science
ISSN0302-9743

Bibliographical note

In SSDBM, Jul 2011

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