Lazy ETL in Action: ETL Technology Dates Scientific Data
Summary: Introduces Lazy ETL that defers extraction/transform/load until query time, integrating ETL into scientific data warehouse processing. Demonstrates seismic-data workflows where on-demand lazy ETL reduces upfront loading costs and enables immediate querying before full ingestion. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yagız Kargın
- 2. Milena Ivanova
- 3. Ying Zhang
- 4. Stefan Manegold
- 5. Martin Kersten
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 928 | Requirements for Science Data Bases and SciDB | 2009 | CIDR | 0.00015247726 |
| 1,343 | NoDB: Efficient Query Execution on Raw Data Files | 2012 | SIGMOD | 0.00012482538 |
| 2,367 | Here are my Data Files. Here are my Queries. Where are my Results? | 2011 | CIDR | 8.9511058e-05 |
| 2,693 | An Architecture for Recycling Intermediates in a Column-store | 2009 | SIGMOD | 8.2883398e-05 |
| 5,430 | Shrinking the Warehouse Update Window | 1999 | SIGMOD | 5.5078694e-05 |
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