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Thu 22 Jun 2017 14:50 - 15:20 at Vertex WS215 - Incremental computing 2: Research talks

An essential part of many organisations is the ability to provide the users and decision makers with reports on key data based on large amounts data, and these reports should be delivered in a timely manner to stay relevant.

To get the desired performance the programs generating these reports are often written in a non-intuitive fashion. For instance, by keeping data in a denormalized form. We have investigated an alternative approach, namely to write the programs as they are operating on the full amount of data and then use automatic incrementalization for achieving acceptable performance.

Thu 22 Jun
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13:40 - 15:20: IC 2017 - Incremental computing 2: Research talks at Vertex WS215
ic-2017-papers13:40 - 14:10
Rohin ShahUniversity of California, Berkeley, Rastislav BodikUniversity of Washington
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ic-2017-papers14:15 - 14:45
Daco HarkesDelft University of Technology, Eelco VisserDelft University of Technology
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ic-2017-papers14:50 - 15:20
Ken Friis LarsenDIKU, University of Copenhagen, Fritz HengleinDIKU, Denmark
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