Very cool. So if you also needed some Postgresql relational tables alongside the document DB approach, there would be no problem using EF or Dapper in conjuction with Marten, right?
What Rider plugin you are using to query that postgres?. Also you should use JSON plugin to prettify that json result, right now it is raw and harder to read.
Hii ✋ I'm currently working on a project that involves implementing the CQRS pattern and I'm exploring different options for denormalizing data. I've heard that using message queues or distributed jobs using Hangfire are two popular approaches for achieving this. However, I'm still trying to fully understand the benefits and drawbacks of each approach, and I was wondering if you would be willing to create a video discussing the possible scenarios for denormalization when implementing CQRS and comparing the benefits and drawbacks of using message queues versus distributed jobs using Hangfire.
![สาวเมืองเพชร - ธีเดช ทองอภิชาติ [Official MV]](http://i.ytimg.com/vi/kEt7F9PvO3I/mqdefault.jpg)
This migrationless development is absolutely underrated..., this is a WOW moment.!
It’s pretty epic
Thanks for sharing! Haven’t heard of this package until now. It’s pretty awesome!
Eya V, yeah it’s really good worth a try )
Very cool. So if you also needed some Postgresql relational tables alongside the document DB approach, there would be no problem using EF or Dapper in conjuction with Marten, right?
Yes, they both would use npgsql package under the hood so you’ll need to align versions sometimes
Been using it. Very cool package.
Great stuff
Did you check perf when database has around tens of millions of rows?
Amazing video btw. Many thanks sir.
Nice, thanks 👍
What Rider plugin you are using to query that postgres?. Also you should use JSON plugin to prettify that json result, right now it is raw and harder to read.
I use the terminal, and raw is how we like it here
Hii ✋
I'm currently working on a project that involves implementing the CQRS pattern and I'm exploring different options for denormalizing data. I've heard that using message queues or distributed jobs using Hangfire are two popular approaches for achieving this.
However, I'm still trying to fully understand the benefits and drawbacks of each approach, and I was wondering if you would be willing to create a video discussing the possible scenarios for denormalization when implementing CQRS and comparing the benefits and drawbacks of using message queues versus distributed jobs using Hangfire.
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Looks like RavenDB :)
Please make a video with .NET CORE and GraphQL
I don’t do graphql
@@RawCoding Ahh! Okay. But the way you explain is just damn awesome
Have you tried YesSql?
Nope wats that?