Abstract | ||
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In this paper we report on our experience of using Database Supported Haskell DSH for analysing the entire Wikipedia history. DSH is a novel high-level database query facility allowing for the formulation and efficient execution of queries on nested and ordered collections of data. DSH grew out of a research project on the integration of database querying capabilities into high-level, general-purpose programming languages. It is an emerging trend that querying facilities embedded in general-purpose programming languages are gradually replacing lower-level database languages such as SQL as preferred facilities for querying large-scale database-resident data. We relate this new approach to the current practice which integrates database queries into analysts' workflows in a rather ad hoc fashion. This paper would interest early technology adopters interested in new database query languages and practitioners working on large-scale data analysis. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-45284-0_2 | PADL |
Field | DocType | Citations |
SQL,World Wide Web,Query language,Programming language,Computer science,View,Database schema,Database design,Haskell,Relational database management system,Database theory,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
George Giorgidze | 1 | 70 | 5.58 |
Torsten Grust | 2 | 1482 | 148.79 |
Iassen Halatchliyski | 3 | 26 | 3.21 |
Michael Kummer | 4 | 0 | 0.68 |