
Sign up to save your podcasts
Or


In this episode of Azure Friday, Aravind Ramachandran talks with Scott Hanselman about support for aggregate functions at global scale in Azure DocumentDB. Aravind explains how you can perform low latency aggregation queries against large datasets without schema definitions or secondary indexes, and other improvements in the DocumentDB query engine like reduced request units and support for polygon indexing. For more information, see: SQL query and SQL syntax in DocumentDB - Aggregate Functions.
By Scott Hanselman4.7
3838 ratings
In this episode of Azure Friday, Aravind Ramachandran talks with Scott Hanselman about support for aggregate functions at global scale in Azure DocumentDB. Aravind explains how you can perform low latency aggregation queries against large datasets without schema definitions or secondary indexes, and other improvements in the DocumentDB query engine like reduced request units and support for polygon indexing. For more information, see: SQL query and SQL syntax in DocumentDB - Aggregate Functions.

16,749 Listeners

273 Listeners

382 Listeners

288 Listeners

3,722 Listeners

626 Listeners

306 Listeners

985 Listeners

204 Listeners

242 Listeners

12 Listeners

10,254 Listeners

24 Listeners

688 Listeners

77 Listeners