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22 posts
zeuchnes
@SteffenZeuch
PostDoc DFKI/DIMA TU Berlin
Berlin, Germany Katılım Ocak 2020
782 Takip Edilen168 Takipçiler
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Awesome news for #NebulaStream. Very proud of our team! 🎉🎉🎉
NebulaStream@nebulastream
🎉 Thrilled to receive an honorable mention at #VLDB2023 for our demo on future #IoT data management challenges with #NebulaStream! Kudos to the team! 🌌🔗 #BIFOLD #TUBERLIN 🥳👏 @tweetctl @p_grulich @SteffenZeuch @ichbinrich
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🎉 Thrilled to receive an honorable mention at #VLDB2023 for our demo on future #IoT data management challenges with #NebulaStream! Kudos to the team! 🌌🔗 #BIFOLD #TUBERLIN 🥳👏 @tweetctl @p_grulich @SteffenZeuch @ichbinrich
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☄️Portals framework (preview) is now live on Github!
github.com/portals-projec…
Paris Carbone@SenorCarbone
🚀Happening now at @VLDBconf! Worldwide reveal demo of Portals, the decentralized programming heaven framework we have been cooking with @JonasSpenger @philippkhaller. It’s Flink on steroids 🌊
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Martin is presenting our paper today at #VLDB2023!
He will discuss how to make sketching on #FPGAs more resource efficient.
BIFOLD@bifoldberlin
Optimistic Data Parallelism for FPGA-Accelerated Sketching. Martin Kiefer (TU Berlin); Ilias Poulakis (TU Berlin); Eleni Tzirita Zacharatou (IT University of Copenhagen); Volker Markl (TU Berlin) 🏷️Sketching & Streaming 📥t1p.de/kwjg4 @eltziritazachar
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BIFOLD researchers present four papers today at the @VLDBconf. We wish all attendees a good time and inspiring discussions.
All 8 BIFOLD contributions by the #DIMA and #DAMs Group in the🧵(#VLDB2023 & #CMDS2023)
#DataManagement #DataEngineering @TUBerlin @ITUkbh @dasyaITU
GIF
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Check out our survey of window types in stream processing systems, which was presented today @VLDBconf!
BIFOLD@bifoldberlin
Survey of Window Types for Aggregation in Stream Processing Systems. Juliane Verwiebe (TU Berlin); Philipp M Grulich (TU Berlin); Jonas Traub (TU Berlin); Volker Markl (TU Berlin) 🏷️Searching Data 📥t1p.de/lhmbh @p_grulich @powibol
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📢Excited to present our preliminary work on optimizing data science pipelines at @deem_workshop @SIGMODConf! We propose a transpiler framework that harnesses the power of DBMSes, striking the perfect balance between ease-of-use and performance.
#SIGMOD2023 #DEEM2023 #DataScience
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We are happy to announce that our paper "Incremental Stream Query Merging" has been published and presented at @edbticdt2023
Check out our paper to learn how NebulaStream merges streaming queries: nebula.stream/publications/i…
#EDBT #StreamProcessing #NebulaStream #BIFOLD
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Continuing the theme of last week, in today's lecture of the #ide3a CID course we learned more about the #InternetOfThings as well as new systems and applications from @SteffenZeuch @nebulastream
What will be the topic of our last lecture next week?
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I've been resorting to the analogy of making a salad with multiple people when explaining some basic concepts of parallelism before... but wouldn't have thought that chickens can support explaining the challenges of IoT data management! Thanks for the cool lecture, @SteffenZeuch!
ide3a@Ide3a1
Continuing the theme of last week, in today's lecture of the #ide3a CID course we learned more about the #InternetOfThings as well as new systems and applications from @SteffenZeuch @nebulastream What will be the topic of our last lecture next week?
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Xenofon Chatziliadis presented his work on Monitoring of Stream Processing Engines Beyond the Cloud: an Overview.
nebula.stream/paper/chatzili…
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Dimitrios Giouroukis presented his work on Streaming Data through the IoT via Actor-Based Semantic Routing Trees.
nebula.stream/paper/giourouk…
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The Video from our @VLDB2020 Demo on Demand-based Sensor Data Gathering with Multi-Query Optimization is now online (youtube.com/watch?v=ctpj-o…) in the new @bifoldberlin YouTube channel.
YouTube
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Great work by Clemens Lutz about Processing Large Data on GPUs with Fast Interconnects @ SIGMOD 2020
youtube.com/watch?v=HAFBkN…
YouTube
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I am happy to announce that our paper
"Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning"
by me and @ziamurai has been accepted for publication at VLDB 2020.
#Baran
#VLDB
#Raha
#DataCleaning
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The SIGMOD best paper co-winners for 2020 are "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects" by Clemens Lutz, Sebastian Breß, Steffen Zeuch , Tilmann Rabl, Volker Markl and ...
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I'm happy to announce that our error detection system Raha won the ACM SIGMOD most reproducible award 2020.
Thanks to the chairs and the co-authors.
#Raha
@ziamurai, @raulcfernandez, @samrmadden, @mourad_ouzzani, Michael Stonebraker, and @ntang928
ACM SIGMOD@sigmod
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 ...
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Very happy to announce that Dimitrios Giouroukis's survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things was accepted at @ACM_DEBS. nebula.stream/publications/a… Congrats to all the authors! @powibol, @zeuchnes. #nebulastream #IoT
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