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The VADA architecture for cost-effective data wrangling

Abstract:

Data wrangling, the multi-faceted process by which the data required by an application is identified, extracted, cleaned and integrated, is often cumbersome and labor intensive. In this paper, we present an architecture that supports a complete data wrangling lifecycle, orchestrates components dynamically, builds on automation wherever possible, is informed by whatever data is available, refines automatically produced results in the light of feedback, takes into account the user’s priorities,...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3035918.3058730

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Name:
Engineering and Physical Sciences Research Council
Grant:
VADA Programme Grant
Publisher:
Association for Computing Machinery
Host title:
SIGMOD '17 Proceedings of the 2017 ACM International Conference on Management of Data, Chicago, Illinois, USA — May 14 - 19, 2017
Journal:
SIGMOD '17 Proceedings of the 2017 ACM International Conference on Management of Data, Chicago, Illinois, USA — May 14 - 19, 2017 More from this journal
Pages:
1599-1602
Publication date:
2017-05-09
Acceptance date:
2017-02-27
DOI:
ISBN:
9781450341974
Keywords:
Pubs id:
pubs:697075
UUID:
uuid:ac25b2bd-859b-4247-9dbc-03571ef2f68a
Local pid:
pubs:697075
Source identifiers:
697075
Deposit date:
2017-05-25

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