Name
Abstract | ||
|---|---|---|
This paper presents ETLMR, a parallel Extract-Transform-Load (ETL) programming framework based on MapReduce. It has builtin 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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22351-8_48 | SSDBM |
Keywords | Field | DocType |
snowflake schema,builtin support,star schema,parallel extract-transform-load,programming framework,high etl scalability,etlmr mapreduce-based etl framework,high-level etl-specific,high programming productivity | Programming productivity,Programming language,Star schema,Computer science,Schema (psychology),Database,Software framework,Scalability | Conference |
Citations | PageRank | References |
3 | 0.40 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiufeng Liu | 1 | 108 | 14.69 |
| Christian Thomsen | 2 | 95 | 12.10 |
| Torben Bach Pedersen | 3 | 2102 | 181.24 |