Yannis Papakonstantinou
Employers on the program
- 2024–2026Google2 talks
- 2023Databricks & University of California, San Diego1 talk
- 2023Databricks1 talk
- 2019Amazon Web Services3 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- ACM SIGMOD/PODS (International Conference on Management of Data)
- AWS re:Invent
- CIDR (Conference on Innovative Data Systems Research)
- IEEE ICDE (International Conference on Data Engineering)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 31, 2026 | SIGMOD/PODS 2026 | ACM SIGMOD/PODS (International Conference on Management of Data) | sponsor talk | Powering Intelligent Agents with AI-native Databases as Google Cloud | |
| May 13, 2024 | ICDE 2024 (40th IEEE International Conference on Data Engineering) | IEEE ICDE (International Conference on Data Engineering) | invited talk | Vector Search and Databases as Google | |
| Jan 8, 2023 | CIDR 2023 | CIDR (Conference on Innovative Data Systems Research) | sponsored talk | ETL with Databricks Delta Live Tables as Databricks | SlidesVideo |
| Jan 8, 2023 | CIDR 2023 | CIDR (Conference on Innovative Data Systems Research) | paper | Making Data Engineering Declarative as Databricks & University of California, San Diego | SlidesVideoPaper |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] PartiQL: Solution integration and joining the community as Amazon Web Services PartiQL is an evolving SQL-compatible query language that provides a unifying query language to the AWS data lake. In this chalk talk, we address how…Show lessPartiQL is an evolving SQL-compatible query language that provides a unifying query language to the AWS data lake. In this chalk talk, we address how applications, business intelligence (BI) tools, and database engines benefit from PartiQL. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | Accelerating performance with materialized views as Amazon Web Services Amazon Redshift materialized views enable a dramatic reduction in query latency. This session explains how to get faster query results, either automatically or…Show lessAmazon Redshift materialized views enable a dramatic reduction in query latency. This session explains how to get faster query results, either automatically or by having the queries explicitly refer to the materialized views. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | PartiQL: One query language for all of your data as Amazon Web Services PartiQL is a SQL-compatible query language that makes it easy and efficient to process both structured (relational) data, as well as semi-structured,…Show lessPartiQL is a SQL-compatible query language that makes it easy and efficient to process both structured (relational) data, as well as semi-structured, schemaless, and nested data, as typically found in open data formats in the Amazon S3 data lake and document-oriented databases. PartiQL is a unifying query language, enabling single-query-language access to multiple AWS services. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Gustavo Alonso | 3 | — | 2026 |
| Ritwik Yadav | 2 | — | 2026 |
| Tirthankar Lahiri | 2 | — | 2026 |
| Yuxing Chen | 2 | — | 2026 |
| Hannes Mühleisen | 2 | — | 2024 |
| Almann Goo | 1 | 2 | 2019 |
| Vuk Ercegovac | 1 | 1 | 2019 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.