Efficient joins to process stream data

Summary

Efficient joins to process stream data is a doctoral thesis^[1].

Key Facts

• Efficient joins to process stream data authored M Asif Naeem^[2].
• Efficient joins to process stream data's instance of is recorded as doctoral thesis^[3].
• Efficient joins to process stream data's publisher is recorded as ResearchSpace@Auckland^[4].
• Efficient joins to process stream data's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand^[5].
• Efficient joins to process stream data's country of origin is recorded as New Zealand^[6].
• Efficient joins to process stream data's publication date is recorded as +2012-00-00T00:00:00Z^[7].
• Efficient joins to process stream data's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/16925^[8].
• Efficient joins to process stream data's Handle ID is recorded as 2292/16925^[9].
• Efficient joins to process stream data's title is recorded as Efficient joins to process stream data^[10].
• Efficient joins to process stream data's copyright holder is recorded as M Asif Naeem^[11].
• Efficient joins to process stream data's thesis submitted to is recorded as University of Auckland^[12].
• Efficient joins to process stream data's on focus list of Wikimedia project is recorded as NZThesisProject^[13].
• Efficient joins to process stream data's copyright status is recorded as copyrighted^[14].
• Efficient joins to process stream data's online access status is recorded as open access^[15].
• Efficient joins to process stream data's thesis committee member is recorded as Gillian Dobbie^[16].
• Efficient joins to process stream data's thesis committee member is recorded as Gerald Weber^[17].

Body

Designation and Status

Efficient joins to process stream data's instance of is recorded as doctoral thesis^[3].