Stratos and Mark Callaghan will be presenting a tutorial on state-of-the-art solutions and open problems for the design of key-value storage engines at @SIGMOD2020 PDF available here: bit.ly/2ZkfxRN

We congratulate all six recipients of the 2020 SIGMOD Contributions Award! We are proud and honoured to have a current and a former group member among them: Stefan Manegold & Stratos Idreos.

First SIGMOD 2021 tweet: first-round paper submission deadline coming up on July 7. sigmodconf.hosting.acm.org/2021/calls_pap… ACM SIGMOD @SIGMOD2020

Congrats to Margo Seltzer and the BerkeleyDB team, the winners of the SIGMOD 2020 Systems Award ACM SIGMOD @SIGMOD2020

Very honored to be with my esteemed colleagues -- Philippe Boneet, Stratos Idreos, Stefan Manegold, Dennis Shasha, and the most adorable award winners in SIGMOD history! And thanks Tamer Özsu (Ioana Manolescu, we missed you) ACM SIGMOD @SIGMOD2020

Next step towards self-designing storage engines: Range queries. Rosetta was presented at @SIGMOD2020. Video presentation: bit.ly/3ir4pJK Paper: bit.ly/31NQIil

Check out the cool new Data Intensive Systems and Computing lab at BU by Manos, as well as their new research on Delete-aware storage engines: disc.bu.edu

Siqiang Luo will be leaving DASlab at the end of August to join the School of Data Science, in the Chinese University of Hong Kong (Shenzhen) as an Assistant Professor. Congratulations Siqiang!

The video of our @SIGMOD2020 tutorial together with Mark Callaghan on key-value storage engines is now available. It introduces a lot of the ideas on self-designing data systems vimeo.com/441054193

Congratulations to our wonderful postdoc Siqiang Luo who just started in his new position as an assistant professor at Nanyang Technological University in Singapore!

Stacked Filters to appear at VLDB 21! Stacked Filters blend design elements of both traditional hash-based filters and classifier-based learned filters, resulting in a filter that brings FPR down but is also fast and robust. bit.ly/3sIyv05

Deep Collider to appear in ICLR21! We show several new insights about when and how to design neural network ensembles with respect to a holistic view of accuracy, training costs, and inference costs. bit.ly/3msHAbf

Join us! Software Engineering Positions in Academic Startup. At TRUSTDBLE, we help companies to share their data in a trustworthy way. If you want to join the team, then send you application to [email protected]. Application Deadline: 15 August 2021. trustdble.com/career/

The video of our SIGMOD'21 tutorial on "Deep Learning: Systems and Responsibility" is now available: bit.ly/3eUTV5l

ACM SIGMOD Congratulations everyone, especially the NoDB team!!! Ioannis Renata Borovica-Gajic @miguel_s_branco Stratos Harvard DASlab Anastasia Ailamaki DIAS Lab @EPFL - it was a privilege to see this foundational work shape up from across the hallway :)

Had missed this news 6 days ago - only a small margin of a Harvard tenure track, though😉 But this is impressive & very well-deserved! Congrats Stratos Harvard DASlab!! (the story rightfully mentions a PhD from UvA, but that research was done CWI DA😃) seas.harvard.edu/news/2023/01/s…

We are delighted to announce the winners of this year’s Sloan Research Fellowship! These outstanding researchers are shining examples of innovation and impact—and we are thrilled to support them. Meet the winners here: sloan.org/fellowships/20… 🎉 #SloanFellow #STEM #ScienceTwitter