Timeline for Best practices for dashboard of near real-time analytics
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 15, 2019 at 6:25 | answer | added | madham | timeline score: 1 | |
| Apr 10, 2018 at 15:27 | history | tweeted | twitter.com/StackSoftEng/status/983728073953697793 | ||
| Feb 4, 2016 at 8:43 | comment | added | Julien | The real real time is not super important actually. For Elasticsearch I'm not sure if I should have a batch that copy the data from mysql to Elasticsearch or insert the data in Elasticsearch at the same time as I insert it in MySQL | |
| Feb 4, 2016 at 7:32 | comment | added | Andy | Using a technology such as Elastic could ease the load on primary database servers, which is a good idea. Although the real question really is, how important it is to have real real time statistics. | |
| Feb 4, 2016 at 7:31 | comment | added | Sean McSomething | Whenever somebody asks for realtime analytics, ask how quickly they can act on the information. Up to the minute data gives suits hardons but if it takes the business 30 days to do anything about it there's no need to engineer a realtime data feed. | |
| Feb 4, 2016 at 5:46 | review | First posts | |||
| Feb 4, 2016 at 14:06 | |||||
| Feb 4, 2016 at 5:44 | history | asked | Julien | CC BY-SA 3.0 |