#sigmod2020 search results

Want your Spark jobs to run faster? We use neural networks to generate data layouts that can speed up big data analytics by >10x. See this simple idea in my #SIGMOD2020 talk tomorrow (work w/@badrishc & MSR) 🕐 Wed 1:30p, ML for Databases 1 Paper/details: zongheng.me/qdtree


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

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.

ChiDataLab's tweet image. 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.

At the #sigmod2020 keynote by Martin Grohe this morning, I asked my first question at the first conference I’ve ever attended 🎉

EugenieLai's tweet image. At the #sigmod2020 keynote by Martin Grohe this morning, I asked my first question at the first conference I’ve ever attended 🎉

Can statistics really close the book on Functional Dependency discovery? Find out in our #SIGMOD2020 paper on using robust structure learning to find data quality rules from noisy data pages.cs.wisc.edu/~thodrek/mod05… #holoclean @wiscdb

thodrek's tweet image. Can statistics really close the book on Functional Dependency discovery? Find out in our #SIGMOD2020 paper on using robust structure learning to find data quality rules from noisy data pages.cs.wisc.edu/~thodrek/mod05… #holoclean @wiscdb

Attending @sigmod 2020 via Gather App. Brings back the memories of playing pokemon. #Sigmod2020


On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES

seemohan's tweet image. On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES
seemohan's tweet image. On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES

Consider submitting your relevant research to the GRADES-NDA workshop collocated with @SIGMOD2020! Papers Due: 23rd March, 2020 gradesnda.github.io #gradesnda #sigmod2020

gradesnda's tweet image. Consider submitting your relevant research to the GRADES-NDA workshop collocated with @SIGMOD2020!
Papers Due: 23rd March, 2020
gradesnda.github.io
#gradesnda #sigmod2020

Finally some good news. Our work on "Deduplicating Computations in Snapshot Queries" has been accepted to #sigmod2020!


It's #SIGMOD2020 week. Today our PhD student Benjamin Hilprecht shows how to partition distributed databases using reinforcement learning. Come to research session 2 at around 2:30 PDT -- or read the paper just now: dl.acm.org/doi/abs/10.114…

tuda_systems's tweet image. It's #SIGMOD2020 week. Today our PhD student Benjamin Hilprecht shows how to partition distributed databases using reinforcement learning. Come to research session 2 at around 2:30 PDT -- or read the paper just now: dl.acm.org/doi/abs/10.114…

Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod '20: bit.ly/2YCcJyg #SIGMOD2020

ACMDL's tweet image. Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod  '20: bit.ly/2YCcJyg 

#SIGMOD2020

Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J #SIGMOD2020

ACMDL's tweet image. Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J 

#SIGMOD2020

Thrilled to have reached 2nd place in the ACM #SIGMOD2020 SRC. To find out more about my research, follow the links: Presentation: youtu.be/9Lpa_qOStSE Extended Abstract: doi.org/10.1145/331846… P.S.: Shoot me a message if you're hiring, I'm currently evaluating next steps!

HendrikMakait's tweet card. Rethinking Message Brokers on RDMA and NVM by Hendrik Makait at ACM...

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Rethinking Message Brokers on RDMA and NVM by Hendrik Makait at ACM...


If you are attending #SIGMOD2020, checkout our work on HydroCache, which simultaneously offers OOM performance improvement and rich consistency models for stateful #Serverless apps. The talk will be on Tuesday at Research Session 2. Joint work with @vsreekanti & @joe_hellerstein!


Our latest work "Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates" will be presented at #SIGMOD2020 (Research session 6, Jun 17th 4:30pm-6pm Pacific). Paper: dl.acm.org/doi/10.1145/33… Come find out how Aggify lifts the long-standing 'Curse of Cursors' in RDBMSs!


. @gunaprsd will present his work on dynamic partitioning of #transaction batches to remove concurrency control in #SIGMOD2020 Research 6 today. Pls check out his talk! Also, Guna will be receiving his research highlight award for another paper at the business lunch. Congrats!


Don't miss our #SIGMOD2023 demo "Acheron: Persisting Tombstones in LSM Engines" that visualizes how tombstones work in LSM trees and shows our #SIGMOD2020 FADE compaction strategy to offer timeliness guarantees for deletion in LSM!…lnkd.in/eQMeSWwy lnkd.in/exTR3myx


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

The #ACM #SIGMOD2020 #Reproducibility started a few weeks ago (reproducibility.sigmod.org), and it accepts submissions until December 18th. Submit code/scripts/data of your SIGMOD2020 paper through cmt3.research.microsoft.com/SIGMODRepro2021, and do not hesitate to reach out with any questions!


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

The #ACM #SIGMOD2020 #Reproducibility effort is starting (reproducibility.sigmod.org)! Submit code/data/scripts at cmt3.research.microsoft.com/SIGMODRepro202…. (Building on top of years of efforts from Philippe Bonnet, @jfreirenet, @DennisShasha, Stefan Manegold, @ioanamanol, and Stratos Idreos!)


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

Key-Value Storage Engines #SIGMOD2020 stratos.seas.harvard.edu/files/stratos/… I found this to be a really nice introduction to DASlab’s work. Their papers tend to be dense and strongly build on each other, so I think this is now the “read this one first” paper for following their research.


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

If you liked our #SIGMOD2020 tutorial on the evolution of stream processing systems, our extended (30+ pages) survey on the topic is now online: arxiv.org/abs/2008.00842 Feedback and comments welcome!

Join us tomorrow at #SIGMOD2020 @SIGMOD2020 for a 3h #tutorial on the evolution of stream processing systems. We start at 10:30am PDT. Slides are already available on our website: streaming-research.github.io/Tutorial-SIGMO… (/w @SenorCarbone @MarioFragkoulis and @kAsterios' blessing 🙏🏼)



📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

Get the hot topics of any CS conference with 2 lines of code!



Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J #SIGMOD2020

ACMDL's tweet image. Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J 

#SIGMOD2020

Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod '20: bit.ly/2YCcJyg #SIGMOD2020

ACMDL's tweet image. Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod  '20: bit.ly/2YCcJyg 

#SIGMOD2020

A few weeks back during #SIGMOD2020 we presented #Lethe a delete-aware LSM system. Today, I want to share a few more thoughts on the problem of handling deletes in modern data stores, as well as some related open research challenges: blogs.bu.edu/mathan/2020/06…


📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

#SIGMOD2020 was a great success. Thanks to @SIGMOD2020. Don’t forget to sign up to our alerts at nowpublishers.com/Alerts/Signup to get 7-day free access to our new FnT review monographs when they are published.


I reflected on my experience at #sigmod2020 this week and wrote a blog post: eugenielai.github.io/posts/sigmod-t…, where I talk about how the conference shaped my view on my research interests, grad studies, and how I interact with people.


No results for "#sigmod2020"

📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo #PaperReading #SQL

CockroachDB's tweet image. 📚 We wrote a paper for #SIGMOD2020 about CockroachDB's architecture. Then we presented that paper in video format for the @sigmod conference. 

📽️ Watch the vid to learn how we support consistent/fast geo-distributed transactions: youtu.be/ivVFAd9erfo

#PaperReading #SQL

At the #sigmod2020 keynote by Martin Grohe this morning, I asked my first question at the first conference I’ve ever attended 🎉

EugenieLai's tweet image. At the #sigmod2020 keynote by Martin Grohe this morning, I asked my first question at the first conference I’ve ever attended 🎉

Consider submitting your relevant research to the GRADES-NDA workshop collocated with @SIGMOD2020! Papers Due: 23rd March, 2020 gradesnda.github.io #gradesnda #sigmod2020

gradesnda's tweet image. Consider submitting your relevant research to the GRADES-NDA workshop collocated with @SIGMOD2020!
Papers Due: 23rd March, 2020
gradesnda.github.io
#gradesnda #sigmod2020

On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES

seemohan's tweet image. On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES
seemohan's tweet image. On the eve of #MohanRetirementParty @SIGMOD2020 on 16 June bit.ly/2zjOKu9 I just published an album bit.ly/CM4D1K of 1K photos titled "4 Decades of Nostalgic Moments with Worldwide Database Techies". Enjoy, share & tag yourself! #SIGMOD2020 @IBMResearch #ARIES

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.

ChiDataLab's tweet image. 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.

Can statistics really close the book on Functional Dependency discovery? Find out in our #SIGMOD2020 paper on using robust structure learning to find data quality rules from noisy data pages.cs.wisc.edu/~thodrek/mod05… #holoclean @wiscdb

thodrek's tweet image. Can statistics really close the book on Functional Dependency discovery? Find out in our #SIGMOD2020 paper on using robust structure learning to find data quality rules from noisy data pages.cs.wisc.edu/~thodrek/mod05… #holoclean @wiscdb

Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod '20: bit.ly/2YCcJyg #SIGMOD2020

ACMDL's tweet image. Read "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects," by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl, a Best Paper from ACM @sigmod  '20: bit.ly/2YCcJyg 

#SIGMOD2020

Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J #SIGMOD2020

ACMDL's tweet image. Read "ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines," by Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, and Aditya Parameswaran, a Best Paper from ACM @SIGMOD '20: bit.ly/3g1RA6J 

#SIGMOD2020

It's #SIGMOD2020 week. Today our PhD student Benjamin Hilprecht shows how to partition distributed databases using reinforcement learning. Come to research session 2 at around 2:30 PDT -- or read the paper just now: dl.acm.org/doi/abs/10.114…

tuda_systems's tweet image. It's #SIGMOD2020 week. Today our PhD student Benjamin Hilprecht shows how to partition distributed databases using reinforcement learning. Come to research session 2 at around 2:30 PDT -- or read the paper just now: dl.acm.org/doi/abs/10.114…

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