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We are beyond excited to have @SainyamGalhotra join us. Congrats on the CI Fellowship!!!
Excited to receive the CI fellowship to work with @raulcfernandez and the amazing @ChiDataLab to design a fair trade marketplace for data. @UChicagoCS 🥳
Have a great idea for a panel at #VLDB2021? The deadline for panel proposals is March 5th! vldb.org/2021/?call-for… #SpreadTheWord
Thanks to @sirrice for giving a great virtual talk today for Chidata! Always exciting to hear what Prof. Wu is up to these days. If you aren't familiar with his work, I suggest starting with Smoke vldb.org/pvldb/vol11/p7…
Today's Quarantine Database Speaker: Prof. Aaron Elmore (@AaronJElmore) from @ChiDataLab will present the new CrocodileDB: db.cs.cmu.edu/events/quarant… Important: New start time this semester! All talks are now at 5:00pm ET on public Zoom. YouTube video will be posted afterwards.
db.cs.cmu.edu
CrocodileDB: Resource Efficient Database Execution - Carnegie Mellon Database Group
The coming end of Moore’s law requires that data systems be more... Read More +
VLDB session with our talk on decomposing string attributes for improved compression and query execution starts soon vldb2020.org/program_flat.h… (cool talks from TUM and Hero also in the session) w/@johnpaparrizos @Tranway
The last of 4 ChiData talks today at #SIGMOD2020. Hear @johnpaparrizos's "Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures" in R21 at 3:30pm PST. Our complementary site timeseries.org allows you to explore our results and data. #timeseries
Two ChiData CrocodileDB talks today at #SIGMOD2020. Learn about how Incremental-aware Query Execution can provide resource-efficient and low-latency queries (R14), and how Predicate-Constraints provides a new bounded method to reason about missing data (R4). Both at 1:30pm PST.
Follow us to get the latest news on #VLDB2021 (Copenhagen, Denmark), and occasional shade thrown at @sigmod and @andy_pavlo for good fun. vldb.org/2021/ Please RT and follow! #theTOPdbConference #data
Winners of the 2020 SIGMOD Most Reproducible Paper Award are Raha: A Configuration-Free Error Detection System by Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang Verified by: Subarna Chatterjee, Harvard ...
Update your calendars for #CIDR2020 @AaronJElmore's talk on our resource-efficient database, CrocodileDB, has been bumped up to Monday at 5pm. #NoLongerHeadlining
Chidata is live and looking for several new PhD students for next year. We are data systems research @UChicagoCS - @franklinmj @AaronJElmore Sanjay Krishnan & @raulcfernandez w/many great students and postdocs. Application deadline is 12/15. Please RT!!! data.cs.uchicago.edu
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