CSE-662 background updates and initial slides
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"length":10,
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"urls" : {
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"paper" : "http://odin.cse.buffalo.edu/papers/2015/CIDR-jitd-final.pdf",
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"slides" : "http://odin.cse.buffalo.edu/slides/talks/2015-JITDs"
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"slides" : "http://odin.cse.buffalo.edu/slides/talks/2015-3-JITDs.zip"
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},
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"projects" : ["astral"]
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},
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slides/cse662fa2016/2016-08-29-Intro.pdf
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slides/cse662fa2016/2016-08-29-Intro.pdf
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@ -69,6 +69,15 @@ After the taking the course, students should be able to:
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## Course Schedule
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* **Aug. 29** : Introduction ([slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-08-29-Intro.pdf))
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* **Aug. 31** : Project Background 1 - ([Mimir](http://odin.cse.buffalo.edu/slides/talks/2016-3-NYU-Mimir/), [JITDs](http://odin.cse.buffalo.edu/slides/talks/2015-3-JITDs.zip))
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* **Sept. 02** : Project Background 2 - ([PocketData](http://odin.cse.buffalo.edu/slides/talks/2015-7-OhioPocketData/))
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* **Sept. 07** : Database Cracking - ([paper](http://stratos.seas.harvard.edu/files/IKM_CIDR07.pdf))
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-----
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## Topics
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1. Datstructures and Indexes
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* Functional Datastructures
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* Indexes Review
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workload. The policy should result in runtime behavoir that is beneficial for
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the workload over classic, workload agnostic policies.
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##### Background material:
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* [Database Cracking](http://stratos.seas.harvard.edu/files/IKM_CIDR07.pdf)
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* [JITDs Presentation](http://odin.cse.buffalo.edu/slides/talks/2015-3-JITDs.zip)
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* [JITDs Intro Paper](http://odin.cse.buffalo.edu/papers/2015/CIDR-jitd-final.pdf)
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* [GitHub Repo](https://github.com/UBOdin/jitd)
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### PocketData
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While "big data" is all the rage, another important type of data is the data
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databases and compare and contrast how they perform with respect to classic
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database implementations.
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##### Background material:
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* [PocketData Slides](http://odin.cse.buffalo.edu/slides/talks/2015-7-OhioPocketData/)
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* [PocketData Preliminary Study](http://odin.cse.buffalo.edu/papers/2015/TPCTC-sqlite-final.pdf)
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* [PhoneLab](https://phone-lab.org)
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* [PhoneLab Example Dataset](https://phone-lab.org/static/experiment/sample_dataset.tgz)
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#### App Workload Characteristics
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