Priya Tiruthani
Employers on the program
- 2024Amazon Web Services2 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | [NEW LAUNCH] Empower your data journey with Amazon DataZone’s data lineage as Amazon Worried about using the right data for analysis? With the new OpenLineage-compatible data lineage feature in Amazon DataZone, you can now trace the origin,…Show lessWorried about using the right data for analysis? With the new OpenLineage-compatible data lineage feature in Amazon DataZone, you can now trace the origin, transformations, and usage of data in one easy view. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Data governance with AWS analytics [REPEAT] as Amazon In this chalk talk, dive deep into data governance with AWS analytics, exploring the capabilities of Amazon DataZone. Discover how to establish robust data…Show lessIn this chalk talk, dive deep into data governance with AWS analytics, exploring the capabilities of Amazon DataZone. Discover how to establish robust data governance practices through comprehensive data discovery, cataloging, and lineage tracking. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | lightning talk | How to build a business catalog with Amazon DataZoneIt is critical for organizations to effectively organize their data while ensuring the right access controls in order to drive timely discovery for increased…Show lessIt is critical for organizations to effectively organize their data while ensuring the right access controls in order to drive timely discovery for increased business value. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Understand your data with business contextUnderstanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business…Show lessUnderstanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business value. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Leonardo Gomez | 2 | 2 | 2024 |
| Jason Berkowitz | 2 | 1 | 2024 |
| Aamir Khan | 2 | — | 2024 |
| Aaron Chen | 2 | — | 2024 |
| Aaron Dailey | 2 | — | 2024 |
| Aaron Miller | 2 | — | 2024 |
| Aaron Sempf | 2 | — | 2024 |
| Aaron Sengstacken | 2 | — | 2024 |
| Aaron Su | 2 | — | 2024 |
| Abbas Mooraj | 2 | — | 2024 |
| Abby Daniell | 2 | — | 2024 |
| Abeer Naffa | 2 | — | 2024 |
| Abhay Saxena | 2 | — | 2024 |
| Abhaya Chauhan | 2 | — | 2024 |
| Abhijit Barde | 2 | — | 2024 |
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.