Conferences / ACM SIGMOD/PODS (International Conference on Management of Data)
SIGMOD/PODS 2019
Jun 30, 2019 – Jul 5, 2019 · Amsterdam Conference Center (Beurs van Berlage), Amsterdam, Netherlands
- Conference
- ACM SIGMOD/PODS (International Conference on Management of Data) Academic
- Dates
- Jun 30, 2019 – Jul 5, 2019
- Venue
- Amsterdam Conference Center (Beurs van Berlage)
- Place
- Amsterdam, Netherlands
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- sigmod2019.org
- Recorded
- 30 sponsors · 19 speaker appearances
- Notes
- speakers: keynotes only, plus SIGMOD industrial-track papers (one speaker per paper: the starred/presenting author when the list marks one, otherwise the first author). Registration was via RegOnline (regonline.com/acmsigmodpods2019); fee table not archived, so prices are missing.
Ticket prices
No ticket prices recorded
Sponsors 30
Title / headline 1
- Meta · Diamond Sponsor
Platinum 4
Gold 14
- Alibaba Cloud · Gold Sponsors
- Amazon Web Services · Gold Sponsors
- Apple · Gold Sponsors
- Baidu · Gold Sponsors
- Couchbase · Gold Sponsors
- Databricks · Gold Sponsors
- Google · Gold Sponsors
- Huawei · Gold Sponsors
- IBM · Gold Sponsors
- Intel · Gold Sponsors
- Megagon Labs · Gold Sponsors
- MonetDB Solutions · Gold Sponsors
- SAP · Gold Sponsors
- Snowflake · Gold Sponsors
Silver 6
Startup 1
- LeanXScale · Startup Sponsor
Media 4
- Cambridge University Press · Publisher Sponsors
- Morgan & Claypool · Publisher Sponsors
- Now Publishers · Publisher Sponsors
- Springer Nature · Publisher Sponsors
Speakers and talks 19
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| C. Mohan | IBM | Keynote | State of Public and Private Blockchains: Myths and Reality | — |
| Lise Getoor | UC Santa Cruz | Keynote | Responsible Data Science | — |
| Andrew Carter | Industry paper | Nanosecond Indexing of Graph Data With Hash Maps and VLists | — | |
| Christos Chrysafis | Apple | Industry paper | FoundationDB Record Layer: A Multi-Tenant Structured Datastore | — |
| Cynthia Dwork | Harvard University | PODS keynote | Differential Privacy and the US Census | — |
| Edmon Begoli | Oak Ridge National Laboratory | Industry paper | One SQL to Rule Them All - an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables | — |
| Flip Korn | Industry paper | Automatically Generating Interesting Facts from Wikipedia Tables | — | |
| Gui Huang | Alibaba Cloud | Industry paper | X-Engine: An Optimized Storage Engine for Large-scale E-Commerce Transaction Processing | — |
| Haifeng Liu | JD.com & University of Science and Technology of China | Industry paper | CFS: A Distributed File System for Large Scale Container Platforms | — |
| Jesús Camacho-Rodríguez | Hortonworks | Industry paper | Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing | — |
| Ming-Chuan Wu | Apple | Industry paper | Data Platform for Machine Learning | — |
| Misha Tyulenev | MongoDB | Industry paper | Implementation of Cluster-wide Logical Clock and Causal Consistency in MongoDB | — |
| Panagiotis Antonopoulos | Microsoft | Industry paper | Socrates: The New SQL Server in the Cloud | — |
| Rui Ding | Microsoft | Industry paper | QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data | — |
| Stephen H Bach | Brown University | Industry paper | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale | — |
| Sudipto Das | Microsoft | Industry paper | Automatically Indexing Millions of Databases in Microsoft Azure SQL Database | — |
| Vimalkumar Jeyakumar | Cisco | Industry paper | ExplainIt! -- A declarative root-cause analysis engine for time series data | — |
| Yash Govind | University of Wisconsin-Madison | Industry paper | Entity Matching Meets Data Science: A Progress Report from the Magellan Project | — |
| Zhipeng Zhang | Peking University | Industry paper | PS2: Parameter Server on Spark | — |
Sources
- https://web.archive.org/web/20190622045845/http://sigmod2019.org/
- https://web.archive.org/web/20190622000000/http://sigmod2019.org/conf_venue
- https://web.archive.org/web/20190715000000/https://sigmod2019.org/sigmod_keynote
- https://web.archive.org/web/20190715000000/https://sigmod2019.org/sigmod_industry_list