From 7bcc5b6385fc1c58a46ab1494d23dac88e10309a Mon Sep 17 00:00:00 2001 From: Binh Nguyen Date: Mon, 3 Feb 2020 12:22:07 +0800 Subject: [PATCH] Presto Auto Scaling at Eventbrite --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c6afdcb..8c14b7e 100644 --- a/README.md +++ b/README.md @@ -389,6 +389,7 @@ An updated and organized reading list for illustrating the patterns of scalable, * [Engineering Data Analytics with Presto and Apache Parquet at Uber](https://eng.uber.com/presto/) * [Data Wrangling at Slack](https://slack.engineering/data-wrangling-at-slack-f2e0ff633b69) * [Presto in Big Data Platform on AWS at Netflix](https://medium.com/netflix-techblog/using-presto-in-our-big-data-platform-on-aws-938035909fd4) + * [Presto Auto Scaling at Eventbrite](https://www.eventbrite.com/engineering/big-data-workloads-presto-auto-scaling/) * [NoSQL Databases](https://www.thoughtworks.com/insights/blog/nosql-databases-overview) * [Key-Value Databases](http://www.cs.ucsb.edu/~agrawal/fall2009/dynamo.pdf) * [DynamoDB at Nike](https://medium.com/nikeengineering/becoming-a-nimble-giant-how-dynamo-db-serves-nike-at-scale-4cc375dbb18e)