MemSQL to Query Hundreds of Billions of Rows in a Dashboard at Pandora

This commit is contained in:
binhnguyennus 2019-07-04 06:47:09 +08:00
parent 40a4782d2e
commit 3ec7ece167
1 changed files with 1 additions and 0 deletions

View File

@ -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)