Madden: MIRIS: Fast Object Track Queries in Video. SIGMOD 2020  #2.2 Daniel Kang, Peter Bailis, Matei Zaharia: BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia: NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. PVLDB 10(11) 2017 Paper Project Proposals 28 706.015 Introduction PVLDB 12(9) 2019  #6.2 Daniel Deutch, Nave Frost, Amir Gilad: Provenance for Natural Language Queries. PVLDB 10(5) 2017  #6.3 Adriane Chapman, H. V. Jagadish: Why not? SIGMOD 2009 Paper Project Proposals

how to do it wrong  Basic Planning  Which data / data sets should be used?  Which workload / queries should be run?  Which hardware & software should be used?  Metrics: What to measure? How to measure