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Conferences / CIDR (Conference on Innovative Data Systems Research)

CIDR 2022

Jan 9–12, 2022 · Chaminade Resort & Spa, Santa Cruz, CA, United States

Conference
CIDR (Conference on Innovative Data Systems Research) Academic
Dates
Jan 9, 2022 – Jan 12, 2022
Venue
Chaminade Resort & Spa
Place
Santa Cruz, CA, United States
Format
Hybrid
Status
Past
Attendance
—
Website
cidrdb.org
Recorded
8 sponsors · 44 speaker appearances
Notes
Speakers: every paper in the program, with the first listed author as speaker (presenting authors are not identified; CIDR tradition is that senior authors present). paper_url holds the paper PDF on cidrdb.org; slides_url only where the program links real slides. Hybrid: in person at Chaminade with remote participation via Zoom. In-person price is paid to the hotel and includes lodging and meals. Sponsor talks by Google, Snowflake, Oracle, SAP, Microsoft.

Ticket prices

TicketPriceValid untilNotesSource
Zoom attendee (student)$50—cidrdb.org
Zoom attendee$100—cidrdb.org
Zoom presenter$300—cidrdb.org
In-person (base, incl. lodging and meals)$1,600—Paid to Chaminade; $100 student discount and $300 shared-room discount availablecidrdb.org

Sponsors 8

Other 8

  • Amazon Web Services · Sponsor (CIDR Foundation multi-year sponsor)
  • Databricks · Sponsor (CIDR Foundation multi-year sponsor)
  • Google · Sponsor (CIDR Foundation multi-year sponsor)
  • Meta · Sponsor (CIDR Foundation multi-year sponsor)
  • Microsoft · Sponsor (CIDR Foundation multi-year sponsor)
  • Oracle · Sponsor (CIDR Foundation multi-year sponsor)
  • SAP · Sponsor (CIDR Foundation multi-year sponsor)
  • Snowflake · Sponsor (CIDR Foundation multi-year sponsor)

Speakers and talks 44

SpeakerCompanyRoleTalkLinks
Magdalena BalazinskaUniversity of WashingtonKeynoteThe Diverse Challenges of Video Data ManagementVideo
Matei ZahariaStanford and DatabricksKeynoteLessons from Building DatabricksVideo
Alexander BehmDatabricksPaperPhoton: A High-Performance Query Engine for the LakehouseVideoPaper
André RyserUniversity of FribourgPaperD-RDMA: Bringing Zero-Copy RDMA to Database SystemsVideoPaper
Andrew CrottyCarnegie Mellon UniversityPaperAre You Sure You Want to Use MMAP in Your Database Management System?VideoPaper
Anduo WangTemple UniversityPaperA Network Use for Incomplete Knowledge ManagementVideoPaper
Anna HerlihyEPFLPaperBoosting Efficiency of External Pipelines by Blurring Application BoundariesVideoPaper
Benjamin HilprechtTU DarmstadtPaperOne Model to Rule them All: Towards Zero-Shot Learning for DatabasesVideoPaper
Caleb StanfordUniversity of PennsylvaniaPaperCorrectness in Stream Processing: Challenges and OpportunitiesVideoPaper
Daniel FlachsUniversity of MannheimPaperThe 3D Hash Join: Building On Non-Unique Join AttributesVideoPaper
Daniel KangStanford UniversityPaperVIVA: An End-to-End System for Interactive Video AnalyticsVideoPaper
Dario KorolijaETH ZurichPaperFarview: Disaggregated Memory with Operator Off-loading for Database EnginesVideoPaper
Devashish R PurandareUniversity of California, Santa CruzPaperAppend is Near: Log-based Data Management on ZNS SSDsVideoPaper
El Kindi RezigMITPaperExamples are All You Need: Iterative Data Discovery by Example in Data LakesVideoPaper
Franco SollezaBrown UniversityPaperMach: A Pluggable Metrics Storage Engine for the Age of ObservabilityVideoPaper
Guodong JinRenmin University of ChinaPaperGRainDB: A Relational-core Graph-Relational DBMSVideoPaper
Immanuel TrummerCornell UniversityPaperTowards NLP-Enhanced Data Profiling ToolsVideoPaper
Jan KossmannHasso Plattner InstitutePaperWorkload-driven, Lazy Discovery of Data Dependencies for Query OptimizationVideoPaper
Jie Liang AngNational University of SingaporePaperMicro-architectural Analysis of OLAP Systems on Persistent MemoryVideoPaper
Kaisong HuangSimon Fraser UniversityPaperSSDs Striking Back: The Storage Jungle and Its Implications to Persistent IndexesVideoPaper
Laurel OrrStanford UniversityPaperData Management Opportunities for Foundation ModelsVideoPaper
Lawrence BensonHasso Plattner InstitutePaperDarwin: Scale-In Stream ProcessingVideoPaper
Lukas LandgrafTU DresdenPaperMemory Efficient Scheduling of Query Pipeline ExecutionVideoPaper
Madelon HulsebosSigma ComputingPaperMaking Table Understanding Work in PracticeVideoPaper
Mark BlacherFriedrich Schiller University JenaPaperMachine Learning, Linear Algebra, and More: Is SQL All You Need?VideoPaper
Martin PrammerUniversity of Wisconsin-MadisonPaperIntroducing a Query Acceleration Path for Analytics in SQLite3VideoPaper
Matteo LissandriniAalborg UniversityPaperKnowledge Graph Exploration Systems: are we lost?VideoPaper
Maureen DaumUniversity of WashingtonPaperVOCAL: Video Organization and Interactive Compositional AnaLyticsVideoPaper
Michael R AndersonUniversity of MichiganPaperBuilding a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A DemonstrationVideoPaper
Pat HellandSalesforcePaperDecoupled Transactions: Low Tail Latency Online Transactions Atop Jittery ServersVideoPaper
Patrick DammeGraz University of Technology & Know-Center GmbHPaperDAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis PipelinesVideoPaper
Qian LiStanford UniversityPaperA Progress Report on DBOS: A Database-oriented Operating SystemVideoPaper
Qiaoyi DingAlibaba CloudPaperRuntime Encoding Execution in AnalyticDB: Efficient Query Executor for Cloud-native DatabasePaper
Qizhen ZhangUniversity of PennsylvaniaPaperCompuCache: Remote Computable Caching using Spot VMsVideoPaper
Rihan HaiTU DelftPaperAmalur: Next-generation Data Integration in Data LakesVideoPaper
Robin P. van de WaterTU BerlinPaperDataFarm: Farm Your ML-based Query Optimizer’s Food! – Human-Guided Training Data Generation –VideoPaper
Samuel MaddenMITPaperSelf-Organizing Data ContainersVideoPaper
Sebastian SchelterUniversity of AmsterdamPaperScreening Native Machine Learning Pipelines with ArgusEyesVideoPaper
Shreya ShankarUniversity of California, BerkeleyPaperTowards Observability for Machine Learning PipelinesVideoPaper
Sneha GathaniSigma ComputingPaperAugmenting Decision Making via Interactive What-If AnalysisVideoPaper
Steffen KläbeActianPaperAccelerating Python UDFs in Vectorized Query ExecutionVideoPaper
Wenbo TaoMITPaperKyrix-J: Visual Discovery of Connected Datasets in a Data LakeVideoPaper
Yunjia ZhangUniversity of Wisconsin-MadisonPaperCan Transfer Learning be used to build a Query Optimizer?VideoPaper
Ziniu WuMassachusetts Institute of TechnologyPaperA Unified Transferable Model for ML-Enhanced DBMSVideoPaper

Sources