
Marios Fragkoulis
@mariofragkoulis
Research scientist: streaming; stateful functions; scalable data management; opinions my own
ID: 768205003785986048
http://mariosfragkoulis.gr 23-08-2016 21:55:20
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(1/2) On Thu at 10:45 CET (IEEE ICDE Conference), Jim Verhijde (w/ Marios Fragkoulis, Vassilios Karakoidas) will present how internal stream-processor state can be queried efficiently, and a stream processor with queryable state can replace caching/view layers in scalable data processing architectures.


(2/2) We use an example workload from Delivery Hero and efood. We deploying Hazelcast's IMDG+Jet, matching partitioning and making Jet's internal state fully queryable with SQL and different isolation levels. Paper: asterios.katsifodimos.com/assets/publica… Code: github.com/delftdata/s-qu…






We are glad to announce that Marios Fragkoulis joined the team of our awesome speakers! Marios leads an international research team with the mission to leverage & advance state-of-the-art approaches for revolutionizing online food delivery in #Greeece! ▶️voxxeddays.com/athens/





Have you had a chance to read Delivery Hero Tech's latest Tech Blog article? 🤓 The article was written by Marios Fragkoulis, our Senior Research Manager 🚀 Read it here: bit.ly/3OTaXBx 🗞️ #Likeheroes #SQuery #Research

Took >3 years with Marios Fragkoulis, Paris Carbone & Vasia Kalavri to write a survey on the evolution of streaming systems in the last 20 years (VLDB 2025 🇬🇧 J.). Looking for a single point of reference for all things streaming systems research? It’s here: link.springer.com/article/10.100…







The main work of my PhD, "Styx: Transactional Stateful Functions on Streaming Dataflows," co-authored by George Christodoulou, George Siachamis , Marios Fragkoulis , and Asterios Katsifodimos , got accepted in ACM SIGMOD/PODS ! 📄 Paper: arxiv.org/abs/2312.06893 📜 Code: github.com/delftdata/styx (1/3)
