thanks to all organizers for the great hybrid conference - I really enjoyed the in-person event with its many casual discussions during breaks and social happenings.
🥁 The @vldb2021 Best Demo Award goes to "AutoExecutor: Predictive Parallelism for Spark SQL Queries" (R. Sen, A. Roy, A. Jindal, R. Fang, J. Zheng, X. Liu, R. Li) from Microsoft.
https://t.co/sCp0GOI2pe
Congratulations!
Aaaand that's a wrap for the VLDB 2021 Demo Track.
We hope that everyone had a great a VLDB 2021! Virtual registration will stay open until Friday in case you want to see talks/sessions (most talks/sessions will be online for ~1 month). @vldb2021 out!
What better way to start the day than co-chairing a "Women in DB" session at @vldb2021 with amazing @ozcanfatma44, and wonderful panelists Susan Davidson, @stoyanoj, @yytian and @danicaporobic. Thank you so much everyone for the great discussion, insights, and tips!
@vldb2021 attendees, check out
- our demo on a weakly supervised system for EM at 3pm ET! Video => https://t.co/lWxtWH6AAd
- roundtable with @ziamurai on "data prep for ML" at 4pm ET!
- our work on "data cleaning for ML" with @DS3Lab . Video => https://t.co/WrAD1JaEpG
More data action on day 4 https://t.co/B2cw2l9GLo On top of all best database research, we have our award session, more SDS talks (@DataCereal & Nigam Shah), and a panel by @zgives on DB education.
1/2 Caching for analytics has resurfaced as a challenge in today's disaggregated cloud analytics database architecture. At @VLDB2021, we present research on Crystal - a new DB-agnostic semantic caching middleware.
Paper: https://t.co/Vrduj602yI
Video: https://t.co/Wehz5NpDOH
@vldb2021 this week, we are discussing our work on
"TURL: Table Understanding through Representation Learning"
Paper: https://t.co/ck31WIFQAU
Recorded video: https://t.co/GJtuJzN7AL
Also feel free to email us if you have any questions/comments.
ICYM Michael Whittaker’s dissertation talk, he has a short video on Scaling Replicated State Machines with Compartmentalization from his session at #VLDB2021 today.
In which distributed protocols are refactored for scale-out and simplicity.
https://t.co/4yacNQPK2Q @vldb2021
The video for our VLDB Panel on ML for Database Tuning is available on Youtube: https://t.co/FIbxlT7AQW
One of the main takeaways from @samlightstone: Start simple with blackbox tuning. Then bring in more advanced whitebox ML methods as needed.
More DB goodness with day 3 https://t.co/jlndxPMSEx demos, tutorials, research, industry, SDS talks, and a keynote by the always superlative Gerhard Weikum!
VLDB is the premier conference on databases and storage, and this year’s industry track is unreal!
- RAMP-TAO: Layering Atomic Transactions on Facebook’s Online TAO Data Store
- The evolution of Amazon Redshift
- Big Metadata: When Metadata is Big Data (Google, natch)
I'm looking forward to the Crowd Science workshop at #VLDB2021 on Friday, where I will give a keynote talk titled 🔊"HealthBytes: Fostering a Sustainable Future for Crowd Work". ❤️🩹#crowdcomputing#healthtech@vldb2021@wisdelft@TolokaAI https://t.co/T3agnVgwoT
Say hello to #Artemis, joint work with @arnabdotorg on improving #IE from Visually Rich documents, appearing in @vldb2021 -- A Thread [1/4]
Paper: https://t.co/HS1yzLQvU5
Slides: https://t.co/K1ZhuHPegJ
Recorded Talk: https://t.co/bHROYu6LHy
The earlier awards tweet should have pointed out the awards for associate editors and reviewers (Thanks @TweetAtAKK). Thanks to all for your hard work and doing your best to not being reviewer #2!!!