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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18315

Title: Gumbo: Guarded Fragment Queries over Big Data
Authors: DAENEN, Jonny
Neven, Frank
Tan, Tony
Issue Date: 2015
Citation: Extending Database Technology, Brussels, 23-27 March 2015
Abstract: We present Gumbo, a system for the efficient evaluation of guarded fragment queries on top of Hadoop and Spark. A key asset of Gumbo is the reduced number of jobs in comparison with recent systems such as Pig, Hive or Shark. For unnested guarded fragment queries, Gumbo even provides a constant bound on the number of jobs independent of the size of the query. In the demo, we will address the following features of Gumbo: ease-of-use, query plan construction and visualisation, and query execution.
URI: http://hdl.handle.net/1942/18315
Category: C2
Type: Conference Material
Appears in Collections: Research publications

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