Indexing HDFS Data in PDW: Splitting the data from the index
Summary: Proposes using B+-tree indices in an RDBMS to access data stored in HDFS, effectively splitting storage from indexing. Demonstrates that the PDW-driven approach yields efficient, highly selective query processing by exploiting RDBMS indexing on Hadoop data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,893 | Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing | 2017 | VLDB | 6.653922e-05 |
| 8,466 | FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform | 2018 | VLDB | 4.4995574e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 789 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00016602215 |
| 1,980 | Split Query Processing in Polybase | 2013 | SIGMOD | 9.8740305e-05 |
| 2,340 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 9.001663e-05 |
| 5,110 | Only Aggressive Elephants are Fast Elephants | 2012 | VLDB | 5.6868273e-05 |
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