It's just Emanuele showing you what you can do in the Microsoft Data Platform
Oh boy, this is a spinoff of my previous post on “How To Use Grafana (On Docker) To Monitor Your Sql Server (Eventually On Docker Too) – Feat. Influxdb And Telegraf” , which is a nice solution, but I wanted to create something that’s even more easy to deploy, more configurable and without the need of actually knowing influxSQL or learning the influxDB Telegraf schema; for these...
Note: I'll be focusing on Azure Cloud and SQL Server, but these considerations are valid for any Cloud/DB Vendor. Whenever people talk about “The Cloud” I often hear: “cloud is expensive” and, sooner or later, “if performance aren’t good we can scale up in minutes later” .The mindset of taking care of performance issue by scaling up/down cloud resources...
FYI: You can get the Notebook for this article on my github and experiment yourself (opens with Azure Data Studio). Preamble Everybody knows that using loops in SQL Server is not efficient, if you’re able to write that same logic in a set-based statement it’s guaranteed to be faster.Still, devs can’t be helped, you just can’t seem to nail down the set-equivalent statement...
A conversation had me wondering about performance implications in SQL Server RLS feature, specifically on how to mitigate the performance impact;TL; DR; ? Since security functions are actually Inline Table Valued Functions (ITVF), if you write them in a decent way the queries will run in the most efficent way possibile, avoiding RBAR processing. Let’s set the case scene; I’m starting...
Most of the support request I get involved with can be summarized with the following keywords: “slow” + “datawarehouse” + “ETL” + “Save us” What about thinking about ETL performance before it goes bad? Before the system is in production for some time , the data size reaches a decent size which wasn’t tested in DEV and you find out that the...
It's just Emanuele showing you what you can do in the Microsoft Data Platform
