Martin Grund
Employers on the program
- 2023–2025Databricks3 talks
- 2019Amazon Web Services1 talk
Appearances by year
- ACM SIGMOD/PODS (International Conference on Management of Data)
- AWS re:Invent
- JupyterCon
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 22, 2025 | SIGMOD/PODS 2025 | ACM SIGMOD/PODS (International Conference on Management of Data) | industry paper | Databricks Lakeguard: Supporting fine-grained access control and multi-user capabilities for Apache Spark workloads. as Databricks | |
| May 10, 2023 | JupyterCon 2023 | JupyterCon | sponsored talk | Use Spark from anywhere: A Spark client in Python powered by Spark Connect as Databricks Over the past decade, developers, researchers, and the community have successfully built tens of thousands of data applications using Spark. Since then, use…Show lessOver the past decade, developers, researchers, and the community have successfully built tens of thousands of data applications using Spark. Since then, use cases and requirements of data applications have evolved: Today, every application, from web services that run in application servers,... | |
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | sponsor | Use Spark from anywhere: A Spark client in Python powered by Spark Connect as Databricks Over the past decade, developers, researchers, and the community have successfully built tens of thousands of data applications using Spark. | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] Extend analytics beyond your data warehouse as Amazon Web Services Every organization struggles with dark data--data that is not being analyzed due to the complexity, scalability, performance, or cost issues of loading the data…Show lessEvery organization struggles with dark data--data that is not being analyzed due to the complexity, scalability, performance, or cost issues of loading the data into their data warehouse. Amazon Redshift eliminates the dark data problem by giving you the freedom to store data where you want, in the format you want, and have it available for analytics when you need it. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Cheuk Ting Ho | 2 | — | 2023 |
| Giuseppe Angelo Porcelli | 2 | — | 2023 |
| Hendrik Makait | 2 | — | 2023 |
| Kurt Larson | 1 | 1 | 2019 |
| Richard Snelling | 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.