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!

We had a lot of fun at @VLDB2021. #databases #streaming #iot #VLDB2021 #VLIoT #BIFOLD

Now getting ready for @sirrice keynote introduced by Senjuti @vldb2021 #VLDB2021 #SEAData2021

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!

Last day of VLDB2021 with a series of through provoking workshops. https://t.co/dsbkz5brgD

Tomorrow, I'll be speaking at @TolokaAI Crowd Science workshop at @vldb2021 https://t.co/IlSCkGkbLJ #crowdsourcing #vldb

@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 =>

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:

Some shots from day 3

@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

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!!!