From 3ec7ece1678cd1176e75255e572015eaaecbe756 Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Thu, 4 Jul 2019 06:47:09 +0800 Subject: [PATCH] MemSQL to Query Hundreds of Billions of Rows in a Dashboard at Pandora --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7a3205c..1a84d5e 100644 --- a/README.md +++ b/README.md @@ -323,6 +323,7 @@ An organized reading list for illustrating the patterns of scalable, reliable, a * [Real-Time Data Warehouse with MemSQL on Cisco UCS](https://blogs.cisco.com/datacenter/memsql) * [Moving to MemSQL (with Horizontally Scalable, ACID Compliant, MySQL Compatibility) at Tapjoy](http://eng.tapjoy.com/blog-list/moving-to-memsql) * [MemSQL and Kinesis for Real-time Insights at Disney-ABC TV](https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/68131) + * [MemSQL to Query Hundreds of Billions of Rows in a Dashboard at Pandora](https://engineering.pandora.com/using-memsql-at-pandora-79a86cb09b57) * [Object Storage](http://www.datacenterknowledge.com/archives/2013/10/04/object-storage-the-future-of-scale-out) * [Scaling HDFS at Uber](https://eng.uber.com/scaling-hdfs/) * [Reasons for Choosing S3 over HDFS at Databricks](https://databricks.com/blog/2017/05/31/top-5-reasons-for-choosing-s3-over-hdfs.html)