Data Conference Databasea Query.Farm index
Speakers

Tony Gibbs

Employers on the program

  1. 2019–2025Amazon Web Services6 talks
Events3
Conferences1
Talks6
Years active2019–2025

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.

JanFebMarAprMayJunJulAugSepOctNovDecAWS re:InventAWS re:Invent
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Dec 1, 2025AWS re:Invent 2025AWS re:InventworkshopBuild agentic AI–powered search with Amazon Aurora and Amazon RDS
as AWS
The integration of embeddings generated from LLMs with Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL offers a powerful and efficient…Show less

The integration of embeddings generated from LLMs with Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL offers a powerful and efficient solution for optimizing product catalog similarity search experience.

Nov 30, 2020AWS re:Invent 2020AWS re:InventbreakoutDeep dive on Amazon Timestream
as AWS
Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze…Show less

Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at as little as one-tenth the cost of relational databases. In this session, dive deep on Amazon Timestream features and capabilities, including its serverless automatic scaling architecture, its storage...

SlidesVideo
Dec 2, 2019AWS re:Invent 2019AWS re:Inventbreakout[REPEAT 1] Migrate your data warehouse to the cloud in record time, featuring Nielsen
as Amazon Web Services
Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a…Show less

Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a representative from Nielsen explains how they migrated from a leading on-premises data warehouse to Amazon Redshift in record time.

SlidesVideo
Dec 2, 2019AWS re:Invent 2019AWS re:Inventbreakout[REPEAT 1] What’s new with Amazon Redshift, featuring Yelp
as Amazon Web Services
Learn about the most important and hottest new features of Amazon Redshift. In this session, we discuss the architectural evolution of Amazon Redshift and how…Show less

Learn about the most important and hottest new features of Amazon Redshift. In this session, we discuss the architectural evolution of Amazon Redshift and how it uses machine learning to create a self-optimizing data warehouse.

SlidesVideo
Dec 2, 2019AWS re:Invent 2019AWS re:Inventbreakout[REPEAT] Migrate your data warehouse to the cloud in record time, featuring Fannie Mae
as Amazon Web Services
Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a…Show less

Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a representative from Fannie Mae explains how they migrated from a leading on-premises data warehouse to Amazon Redshift in record time.

SlidesVideo
Dec 2, 2019AWS re:Invent 2019AWS re:InventbreakoutDeep dive and best practices for Amazon Redshift
as Amazon Web Services
In this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way to analyze all your data, inside…Show less

In this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way to analyze all your data, inside and outside your data warehouse, without moving the data, which helps you gain deeper insights for running your business.

SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Harshida Patel312025
Alex DeBrie3—2025
Ali Saidi3—2025
Andrew Baird3—2025
Anuj Dewangan3—2025
Ashish Palekar3—2025
Brian Beach3—2025
Carl Meadows3—2025
Chad Schmutzer3—2025
Colm MacCárthaigh3—2025
Damon LaCaille3—2025
David Yanacek3—2025
Deepak Singh3—2025
Dirk Fröhner3—2025
Eric Johnson3—2025

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.