The ETLMR MapReduce-Based ETL Framework
Publication: Research - peer-review › Conference abstract in proceeding
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 language | English |
|---|---|
| Title | Proceedings of the 23rd International Conference on Scientific and Statistical Database Management |
| Editors | Judith Bayard Cushing, James French, Shawn Bowers |
| Number of pages | 3 |
| Volume | 6809 |
| Publication date | 2011 |
| Pages | 586-588 |
| DOIs | |
| State | Published |
Conference
| Conference | 23rd Scientific and Statistical Database Management Conference (SSDBM) |
|---|---|
| Land | United States |
| By | Portland |
| Periode | 20-07-11 → 22-07-11 |
| Name | Lecture Notes in Computer Science |
|---|---|
| ISSN (Print) | 0302-9743 |
Bibliographical note
In SSDBM, Jul 2011
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ID: 66208728