Amazon in Boulder: Distributed SQL to handle heavily queried big data sets

We are incredibly excited to have the Amazon Worldwide Advertising team join us in November to share some of their experiences with us. Come join us and learn about what Amazon is working on in Boulder!

Finding rooms at CU Boulder can be challenging. For a map see http://places.colorado.edu/place?id=ECCR%20200 .

Also for parking see < https://www.google.com/maps/place/Engineering+Center,+1111+Engineering+Dr,+Boulder,+CO+80309/@40.007166,-105.262707,17z/data=!4m5!3m4!1s0x876bedcb99bb71b9:0xadccadbd9ea75dc7!8m2!3d40.0067912!4d-105.2628183?hl=en-US >

You may try to park in the Lots listed as 436/494. I *believe* those lots are free to park in after 5 PM but people should check signs very carefully.

Space is limited so please come early!

Looking forward to seeing everyone!

Agenda

6:00 – 6:15 - Socialize over food and drinks

6:15 – 6:30 - Welcome, opening remarks and announcements
6:30 – 8:30 – Distributed SQL to handle heavily queried big data sets
8:30 - 9:00 - Networking

Presentations

Many new technologies have recently been released by AWS to help customers query data sets stored in Amazon S3. In this discussion, we will dive deep into how the Amazon’s Advertising Data Warehouse maintains dozens of highly-available tables in S3 while supporting load patterns that include full replace operations, batch loads, and materialized views.

About the speaker

Pedro Huitema has been at Amazon for 5+ years. He has played a key role in scaling out the Amazon Advertising’s Data Warehouse which accounts for one of the largest fleets in AWS. With his significant experience in pushing the technology boundaries and his deep understanding of Amazon as a company Pedro recently relocated from Seattle to Colorado where he will help jump start Amazon’s new team in Boulder.