A Hadoop Based Distributed Loading Approach to Parallel Data Warehouses

Summary: Hadoop as distributed ETL loader to Teradata EDW, leveraging HDFS for scalable, parallel loading. Polynomial-time optimal and approximate HDFS-block to Teradata-unit assignment minimizes network traffic; MapReduce enables transformation of un/ semi-structured data; experiments show gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4459
Venue: SIGMOD
Year: 2011
Pagerank: 5.4341353e-05
Overall Rank: 5,558 | 61.34%
DOI: -

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,977	Split Query Processing in Polybase	2013	SIGMOD	9.8824589e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
780	Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience	2009	VLDB	0.00016775082
794	Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing)	2010	VLDB	0.00016605103
1,863	Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce	2010	VLDB	0.00010286531
3,517	Integrating Hadoop and Parallel DBMS	2010	SIGMOD	7.0199423e-05
5,838	HadoopDB in Action: Building Real World Applications	2010	SIGMOD	5.3059032e-05

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