Chair: Tilmann Rabl (Room: Santa Cruz)1:00 - 1:20A Progress Report on DBOS: A
Database-oriented Operating SystemQian Li (Stanford University)*; Peter Kraft (Stanford University);
Kostis Kaffes (Stanford University); Athinagoras Skiadopoulos (Stanford University); Deeptaanshu
Kumar (Carnegie Mellon University); Jason Li (MIT); Michael Cafarella (MIT); Goetz Graefe (Google);
Jeremy Kepner (MIT Lincoln Laboratory); Christos Kozyrakis (Stanford University); Michael
Stonebraker (MIT); Lalith Suresh (VMware Research); Matei Zaharia (Stanford and Databricks)
1:20 - 1:40Mach: A Pluggable Metrics
Storage Engine for the Age of ObservabilityFranco Solleza (Brown University)*; Andrew Crotty (Carnegie Mellon
University); Suman Karumuri (Slack); Nesime Tatbul (Intel Labs and MIT); Stan Zdonik (Brown
University)
1:40 - 2:00Darwin: Scale-In Stream
ProcessingLawrence Benson (Hasso Plattner Institute, University of Potsdam)*;
Tilmann Rabl (HPI, University of Potsdam)
2:00 - 2:20GRainDB: A Relational-core
Graph-Relational DBMSGuodong Jin (Renmin University of China)*; Nafisa Anzum (University of
Waterloo); Semih Salihoglu (University of Waterloo)
2:20 - 2:25Amalur: Next-generation Data
Integration in Data LakesRihan Hai (TU Delft)*; Christos Koutras (TU Delft); Andra Ionescu (TU
Delft); Asterios Katsifodimos (TU Delft)
2:25 - 2:30Photon: A High-Performance Query
Engine for the LakehouseAlexander Behm (Databricks); Shoumik Palkar (Databricks)*
Chair: Jyoti Leeka (Room: Santa Cruz)3:00 - 3:20VOCAL: Video Organization and Interactive Compositional AnaLyticsMaureen Daum (University of Washington)*; Enhao Zhang (University of
Washington); Dong He (University of Washington); Magdalena Balazinska (UW); Brandon Haynes
(Microsoft); Ranjay Krishna (Stanford University); Apryle Craig (University of Washington); Aaron
Wirsing (University of Washington)
3:20 - 3:40VIVA: An End-to-End System for
Interactive Video AnalyticsDaniel Kang (Stanford University)*; Francisco Romero (Stanford
University); Peter D Bailis (Stanford University); Christos Kozyrakis (Stanford University); Matei
Zaharia (Stanford and Databricks)
03:40 - 03:50Sponsor Talk by Google
5:30pm
Dinner
(Room: Sunset Restaurant)
7:30pm
Start-up Session
(Room: Santa Cruz) Chair: Chris Ré (Stanford)7:30 - 8:30
Tuesday
7:00am
Breakfast
(Room: Sunset Restaurant)
8:45am
Keynote 2
(Room: Santa Cruz) Chair: Peter Boncz (CWI)8:45 - 10:00Title: The Diverse Challenges of Video Data ManagementMagdalena Balazinska (UW)
Chair: Yuanyuan Tian(Room: Santa Cruz)1:00 - 1:20Kyrix-J: Visual Discovery of
Connected Datasets in a Data LakeWenbo Tao (MIT)*; Adam Sah (Independent); Leilani Battle (University of
Washington); Remco Chang (Tufts University); Michael Stonebraker (MIT)
1:20 - 1:40Building a Shared Conceptual
Model of Complex, Heterogeneous Data Systems: A DemonstrationMichael R Anderson (University of Michigan); Yuze Lou (University of
Michigan); Jiayun Zou (University of Michigan); Michael Cafarella (MIT)*; Sarah Chasins (University
of California, Berkeley); Doug Downey (Allen Institute for Artificial Intelligence); Tian Gao
(University of Michigan); Kexin Huang (University of Michigan); Dinghao Shen (University of
Michigan); Jenny Vo-Phamhi (University of Michigan); Yitong Wang (University of Michigan); Yuning
Wang (University of Michigan); Anna Zeng (MIT)
1:40 - 2:00Knowledge Graph Exploration
Systems: are we lost?Matteo Lissandrini (Aalborg University)*; Davide Mottin (Aarhus
University); Katja Hose (Aalborg University); Torben Bach Pedersen (Aalborg University)
2:00 - 2:05Data Management Opportunities for
Foundation ModelsLaurel Orr (Stanford University)*; Karan Goel (Stanford); Christopher Re
(Stanford University)
2:05 - 2:10Towards NLP-Enhanced Data
Profiling ToolsImmanuel Trummer (Cornell)*
2:10 - 2:20Sponsor Talk by Snowflake2:20 - 2:30Sponsor Talk by Oracle
Chair: Carsten Binnig(Room: Santa Cruz)3:00 - 3:20DAPHNE: An Open and Extensible
System Infrastructure for Integrated Data Analysis PipelinesPatrick Damme (Graz University of Technology & Know-Center GmbH)*;
Marius Birkenbach (KAI); Constantinos Bitsakos (NTUA); Matthias Boehm (Graz University of
Technology); Philippe Bonnet (IT Univ Copenhagen, Denmark); Florina M. Ciorba (Technical University
of Dresden, Germany / University of Basel, Switzerland); Mark Dokter (Know-Center GmbH); Pawel
Dowgiallo (Intel); Ahmed Eleliemy (University of Basel); Christian Faerber (Intel Corporation);
Georgios Goumas (National Technical University of Athens); Dirk Habich (TU Dresden); Niclas Hedam
(IT University of Copenhagen); Marlies Hofer (AVL List GmbH); Wenjun Huang (German Aerospace
Center); Kevin Innerebner (Graz University of Technology); Vasileios Karakostas (National Technical
University of Athens (NTUA)); Roman Kern (KNOW-CENTER GmbH); Tomaž Kosar (University of Maribor);
Alexander Krause (TU Dresden); Daniel Krems (AVL List GmbH); Andreas Laber (Infineon); Wolfgang
Lehner (TU Dresden); Eric Mier (TU Dresden); Marcus Paradies (German Aerospace Center); Bernhard
Peischl (); Gabrielle Poerwawinata (University of Basel); Stratos Psomadakis (ICCS/NTUA); Tilmann
Rabl (HPI, University of Potsdam); Piotr Ratuszniak (Intel Technology Poland); Pedro Silva (HPI,
University of Potsdam); Nikolai Skuppin (German Aerospace Center (DLR)); Andreas Starzacher
(Infineon); Benjamin Steinwender (KAI GmbH); Ilin Tolovski (Hasso Plattner Institute); Pinar Tozun
(IT University of Copenhagen); Wojciech Ulatowski (Intel); Yuanyuan Wang (Technical University of
Munich (TUM); German Aerospace Center (DLR)); Izajasz Wrosz (Intel); Aleš Zamuda (University of
Maribor); Ce Zhang (ETH); Xiaoxiang Zhu (Technical University of Munich (TUM); German Aerospace
Center (DLR)
3:20 - 3:40Augmenting Decision Making via
Interactive What-If AnalysisSneha Gathani (Sigma Computing)*; Madelon Hulsebos (Sigma Computing);
James Gale (Sigma Computing); Peter Haas (University of Massachusetts Amherst); Cagatay Demiralp
(Sigma Computing)
03:40 - 03:45Towards Observability for
Machine Learning PipelinesShreya Shankar (University of California Berkeley)*; Aditya Parameswaran (University of California, Berkeley)
3:45 - 3:50Screening Native Machine
Learning Pipelines with ArgusEyesSebastian Schelter (University of Amsterdam)*; Stefan Grafberger
(University of Amsterdam); Shubha Guha (University of Amsterdam); Olivier Sprangers (University of
Amsterdam); Bojan Karlas (ETH Zurich); Ce Zhang (ETH)
03:50 - 03:55Making Table Understanding
Work in PracticeMadelon Hulsebos (Sigma Computing)*; Sneha Gathani (Sigma Computing);
James Gale (Sigma Computing); Isil Dillig (UT Austin); Paul Groth (University of Amsterdam); Cagatay
Demiralp (Sigma Computing)
3:55 - 4:00Examples are All You Need:
Iterative Data Discovery by Example in Data LakesEl Kindi Rezig (MIT)*; Anshul Bhandari (National Institute of Technology
Hamirpur); Anna Fariha (Microsoft); Benjamin Price (MIT Lincoln Laboratory); Allan Vanterpool
(United States Air Force); Andrew Bowne (United States Air Force); Lindsey McEvoy (U.S. Air Force AI
Accelerator (SAF/AQ)); Vijay Gadepally (MIT Lincoln Laboratory)
5:30pm
Dinner
(Room: Sunset Restaurant)
7:30pm
Gong Show
(Room: Santa Cruz) Chair: Andy Pavlo (CMU)7:30 - 8:30
Chair: Fatma Özcan (Google)(Room: Santa Cruz)11:00 - 11:20Workload-driven, Lazy
Discovery of Data Dependencies for Query OptimizationJan Kossmann (Hasso Plattner Institute)*; Felix Naumann (Hasso Plattner
Institute); Daniel Lindner (Hasso Plattner Institute); Thorsten Papenbrock (Philipps University of
Marburg)
11:20 - 11:40A Unified Transferable Model for
ML-Enhanced DBMSZiniu Wu (Massachusetts Institute of Technology)*; Pei Yu (); Peilun
Yang (University of Technology Sydney); Rong Zhu (Alibaba Group); Yuxing Han (ByteDance); Yaliang Li
(Alibaba Group); Defu Lian (University of Science and Technology of China); Kai Zeng (Alibaba
Group); Jingren Zhou (Alibaba Group)
11:40 - 12:00One Model to Rule them All:
Towards Zero-Shot Learning for DatabasesBenjamin Hilprecht (TU Darmstadt)*; Carsten Binnig (TU Darmstadt)
12:00 - 12:20Machine Learning, Linear
Algebra, and More: Is SQL All You Need?Mark Blacher (Friedrich Schiller University Jena)*; Joachim Giesen
(Friedrich Schiller University Jena); Sören Laue (Friedrich Schiller University Jena / Data
Assessment Solutions GmbH Hannover); Julien Klaus (Friedrich Schiller University Jena); Viktor Leis
(Friedrich-Alexander-Universität Erlangen-Nürnberg)
12:20 - 12:25DataFarm: Farm Your ML-based
Query Optimizer’s Food! – Human-Guided Training Data Generation –Robin P. van de Water (TU Berlin)*; Francesco Ventura (TU Berlin); Zoi
Kaoudi (TU Berlin); Jorge Arnulfo Quiane Ruiz (TU Berlin); Volker Markl (Technische Universität
Berlin)
12:25 - 12:30Can Transfer Learning be used to
build a Query Optimizer?Yunjia Zhang (University of Wisconsin-Madison)*; Yannis Chronis
(University of Wisconsin Madison); Jignesh Patel (UW - Madison); Theodoros Rekatsinas (University of
Wisconsin-Madison)