The ETLMR MapReduce-Based ETL Framework

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceabstrakt i proceedingForskningpeer review

2 Citationer (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.
OriginalsprogEngelsk
TitelProceedings of the 23rd International Conference on Scientific and Statistical Database Management
RedaktørerJudith Bayard Cushing, James French, Shawn Bowers
Antal sider3
Vol/bind6809
Publikationsdato2011
Sider586-588
DOI
StatusUdgivet - 2011
Begivenhed23rd Scientific and Statistical Database Management Conference (SSDBM) - Portland, USA
Varighed: 20 jul. 201122 jul. 2011

Konference

Konference23rd Scientific and Statistical Database Management Conference (SSDBM)
Land/OmrådeUSA
ByPortland
Periode20/07/201122/07/2011
NavnLecture Notes in Computer Science
ISSN0302-9743

Bibliografisk note

Dette er en poster præsenteret på konferencen udgivet i konferenceproceedingen under overskriften Posters.

Fingeraftryk

Dyk ned i forskningsemnerne om 'The ETLMR MapReduce-Based ETL Framework'. Sammen danner de et unikt fingeraftryk.

Citationsformater