VLDB 2021: Program Structure

The program structure of the conference is given below. You can click on each session to get more details about the material included. Note that all times are given in your local time as well as the Copenhagen time (CEST).

The workshops are split in 30-minutes slots and the main conference in 15-minutes slots. Each slot is given its starting time.

Day 1: Monday, Aug 16
Local Time Copenhagen Time Blomstersalen Online-Only Ballonsalen Online-Only Pjerrot Online-Only Harlekin
9:00 BOSS: Big Data Open Source Systems SFDI: Software Foundations for Data Interoperability VLIoT: Very Large Internet of Things
9:30
10:00 LADSIOS: A Tutorial Workshop on Learned Algorithms, Data Structures, and Instance-Optimized Systems
10:30 PhD Workshop
11:00
11:30
12:00
12:30
13:00 DBPL: Database Programming Languages
13:30 ADMS: Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
18:30
19:00
19:30
20:00 Demo Block 1 (online only)
20:30
21:00
Day 2: Tuesday, Aug 17
Local Time Copenhagen Time Blomstersalen Congress Hall Ballonsalen Columbine Vandsalen Pjerrot Harlekin
7:00 Demo Block 2 (online only)
7:15
7:30
7:45
8:00 Light Breakfast
8:15
8:30
8:45 Conference Organization Session by General Chairs (Broadcasted in Each Room)
9:00 Industry 1: AI and ML Meets DB (5 talks) Research Session 1: Persistent Memory I (5 talks) Research Session 2: Data Mining (5 talks) Research Session 3: Sketches (5 talks) Research Session 4: Data Preparation (5 talks) Research Session 5: Graph Analysis (5 talks) Tutorial 1: Machine Learning for Databases
9:15
9:30
9:45
10:00
10:15
10:30 Break
10:45
11:00 Research Session 6: Memory Management (3 talks) Research Session 7: User Interfaces (3 talks) Research Session 8: Queries (3 talks) Research Session 9: Metadata (3 talks) Research Session 10: Graph Traversal (3 talks) Research Session 11: Missing Values (3 talks)
11:15
11:30
11:45
12:00 Lunch
12:15
12:30
12:45
13:00 Research Session 12: Cardinality Estimation (6 talks) Research Session 13: Spatial Paths and Maps (7 talks) Research Session 14: Graph Matching (5 talks) Tutorial 2: On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases
13:15
13:30 SDS Talks
13:30 CEST: Joaquin Vanschoren
14:15 CEST: Anja Feldman
(Congress Hall)
13:45
14:00
14:15
14:30
14:45
15:00 Break
15:15 Opening Session by Program Committee Chairs and the President of VLDB Endowment
15:30
15:45 Keynote 1: Tim Kraska (MIT) - Towards instance-optimized data systems (Congress Hall)
16:00
16:15
16:30
16:45 Break
17:00 Sponsor Session 1: Systems for Data Science and ML (Blomstersalen) Sponsor Session 2: Cloud Databases & ML for DBMS (Ballonsalen) Sponsor Session 3: Core DBMS Techniques (Harlekin)
17:15
17:30
17:45
18:00 D&I Reception Starts (Foods & Drinks)
18:15
18:30 D&I Session (while reception continues) - (Congress Hall)
18:45
19:00
19:15
19:30
19:45
20:00
20:15
20:30
20:45
21:00 Poster Session (online only)
21:15
21:30
21:45
22:00 Roundtable Session 1: Hybrid Transaction and Analytical Processing (online only) Roundtable Session 2: Blockchain Database (online only) Roundtable Session 3: Are we D&I? (online only) Roundtable Session 4: Interactive Querying and Visualization for Large Data (online only) Roundtable Session 5: Magical Machine Learning for Database Tuning (online only) Roundtable Session 6: Graph Data Management and Analytics (online only) Roundtable Session 7: Systems for ML (online only)
22:15
22:30
22:45
Day 3: Wednesday, Aug 18
Local Time Copenhagen Time Blomstersalen Congress Hall Ballonsalen Columbine Vandsalen Pjerrot Harlekin
7:00 Demo Block 3 (online only)
7:15
7:30
7:45
8:00 Roundtable Session 8: Learning Based Algorithms (online only) Roundtable Session 9: Graph Embedding and Mining (online only) Roundtable Session 10: Spatio-temporal Data System (online only) Roundtable Session 11: Data Management on Modern Hardware (online only)
8:15
8:30
8:45
9:00 Industry 2: Databases for Data warehouse and Invited Talk (3 talks) Research Session 16: NLP for Databases (5 talks) Research Session 17: Machine Learning for Databases (5 talks) Research Session 18: Query Optimization (5 talks) Research Session 19: Data Streams I (5 talks) Research Session 20: Graph Management I (5 talks) Tutorial 3: Array DBMS: Past, Present, and (Near) Future
9:15
9:30
9:45
10:00
10:15
10:30 Break
10:45
11:00 Research Session 21: User Interaction (3 talks) Research Session 22: Search (3 talks) Research Session 23: Special Hardware (3 talks) Research Session 24: Efficient Query Processing (3 talks) Research Session 25: Data Synthesis and Labeling (3 talks) Research Session 26: Deep Learning I (3 talks) Research Session 27: Graph Processing I (3 talks)
11:15
11:30
11:45
12:00 Lunch
12:15
12:30
12:45
13:00
13:15
13:30 Research Session 28: Data Streams II (3 talks) Research Session 29: Persistent Memory II (3 talks) Research Session 30: AutoML (3 talks) Research Session 31: Implementing DBMS (3 talks) Research Session 32: Provenance (3 talks) Research Session 33: Database Applications (3 talks) Research Session 34: Fairness & Explainability (3 talks)
13:45
14:00
14:15
14:30 Break
14:45
15:00 Keynote 2: Gerhard Weikum (MPI) - Knowledge Graphs 2021: a Data Odyssey (Congress Hall)
15:15
15:30
15:45
16:00 Break
16:15 Industry 3: Indexing, Transaction, and Hardware-Software Co-Design (5 talks) SDS talks
4.15pm CEST: Danai Koutra
5.00pm CEST: Matei Zaharia
(Congress Hall)
Research Session 35: Differential Privacy I (5 talks) Research Session 36: Graph Management II (5 talks) Tutorial 4: Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
16:30
16:45
17:00
17:15
17:30
17:45
18:00 Banquet
18:15
18:30
18:45
19:00
19:15
19:30
19:45
20:00
20:15
20:30
20:45
21:00
21:15
21:30
21:45
22:00
22:15
22:30
22:45
Day 4: Thursday, Aug 19
Local Time Copenhagen Time Blomstersalen Congress Hall Ballonsalen Columbine Vandsalen Pjerrot Harlekin
7:00 Poster Session (online only)
7:15
7:30
7:45
8:00 Light Breakfast
8:15
8:30
8:45
9:00 Industry 4: Databases for Streaming and Unstructured Data (5 talks) Research Session 37: Timeseries (4 talks) Research Session 38: Deep Learning II (5 talks) Research Session 39: Indices (5 talks) Research Session 40: Data Integration (5 talks) Research Session 41: Graph Neural Networks (5 talks) Tutorial 5: New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed
9:15
9:30
9:45
10:00
10:15
10:30 Break
10:45
11:00 Industry 5: Data-Intensive Computing (5 talks) Research Session 42: Storage and In-Memory DBMS (5 talks) Research Session 43: Representation Learning (4 talks) Research Session 44: Distributed Systems (6 talks) Research Session 45: Encrypted Storage and Blockchain (5 talks) Research Session 46: Graph: Community Search (5 talks) Tutorial 6: Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward
11:15
11:30
11:45
12:00
12:15
12:30 Lunch
12:45
13:00
13:15
13:30 Research Session 47: Transactions and Queries (5 talks) Research Session 48: Differential Privacy II (5 talks) Research Session 49: Distributed Machine Learning (5 talks) Research Session 50: Distributed Analytics (5 talks) Research Session 51: Query Execution (4 talks) Research Session 52: Graph Processing II (5 talks) Tutorial 7: Data Augmentation for ML-driven Data Preparation and Integration
13:45
14:00
14:15
14:30
14:45
15:00 Break
15:15
15:30 Awards Session
15:45
16:00
16:15
16:30
16:45
17:00 SDS talks
17:00 CEST: Manasi Vartak
17:45 CEST: Nigam Shah
(Vandsalen)
Panel: 'The future of data(base) education: Is the "cow book" dead?'
Zachary Ives (University of Pennsylvania)
(Congress Hall)
Tutorial 8: Extending the Lifetime of NVM: Challenges and Opportunities
17:15
17:30
17:45
18:00
18:15
18:30 Dinner (on your own)
18:45
19:00
19:15
19:30
19:45
20:00
20:15
20:30
20:45
21:00 Demo Block 4 (online only)
21:15
21:30
21:45
22:00 Roundtable Session 12: Scalable Data Curation (Integration and Cleaning) (online only) Roundtable Session 13: Women in Databases: What does it mean? (online only) Roundtable Session 14: Data Governance and Provenance (online only) Roundtable Session 15: Reproducibility and/or Availability (online only) Roundtable Session 16: Responsible AI Systems and Experiences (online only) Roundtable Session 17: Data Preparation for ML (online only)
22:15
22:30
22:45
Day 5: Friday, Aug 20
Local Time Copenhagen Time Online-Only Akvariet 4+5 Online-Only Online-Only Ballonsalen Blomstersalen
8:00 SEA Data: Search, Exploration, and Analysis in Heterogeneous Datastores TPCTC: TPC Technology Conference on Performance Evaluation and Benchmarking
8:30
9:00
9:30
10:00 AIDB: Applied AI for Database Systems and Applications Crowd Science: Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00 Poly: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances
14:30
15:00
15:30
16:00 DMAH: Data Management and Analytics for Medicine and Healthcare (online)
16:30
17:00
17:30
18:00
18:30
19:00
19:30
20:00
20:30
21:00