I want to publish this post to raise awareness about a series of future posts that are coming. Plus, I want to make those posts more efficient by sharing a link to this introductory post. Because the introduction itself is lengthy to give it some depth.
To help with some jargon here, the concept of the Microsoft Intelligent Data Platform was announced last year by Rohan Kumar at Microsoft Build. It introduces the concept of how various Microsoft services can work together.
You can read more about it in the official post introducing the Microsoft Intelligent Data Platform.
Since I mentioned Microsoft Build, I should mention that the registration page for the next event is now open. With the main event starting on May 23.
Rationale behind posts
Before anybody panics, SQL Server itself is still high in demand. In fact, SQL Server 2022 is one of the solutions listed as part of the Microsoft Intelligent Data Platform.
However, a lot of SQL Server professionals are also interested in various other solutions listed in the Microsoft Intelligent Data Platform. For various reasons.
For instance, some of you need to look at these services for work-related reasons. Because your employer or client wants to implement a modern data platform in Azure.
Others are looking at solutions that involves SQL Server working with other services. For instance, Azure Synapse Link for SQL Server 2022. Like you can see in the below example from a previous T-SQL Tuesday post.
In addition, some of you are looking into new services so that you can gain new certifications. Like the ones I covered in a previous post about recommended Azure Synapse Analytics certifications.
With this in mind, I want to show where your SQL Server background can come in handy when working with these services. To help you get comfortable with them and to speed up adoption.
My main target audience for these posts will be SQL Server professionals. However, other data platform professionals can learn things from these posts as well.
I must point out that some posts might focus on a particular feature or offering within one of the services.
For example, in Azure Synapse Analytics there are various components which I can focus on deeper. Including SQL Pools and Spark clusters.
In addition, some posts will mention CI/CD where relevant. Same goes for other forms of deployments.
First service covered in series
For those wondering, I will keep you guessing which service I will cover first. Feel free to try and guess in the comments.
However, I can confirm that the first one will appear after this months T-SQL Tuesday series. Reitse Eskens is hosting this months T-SQL Tuesday. Its theme is having fun with T-SQL.
Final words about the spreading your SQL Server wings with Microsoft Intelligent Data Platform series
I hope this introduction to future posts in the spreading your SQL Server wings with the Microsoft Intelligent Data Platform series raises some interest.
Because I am looking forward to these posts. I really want to show SQL Server professionals where their background can come in handy with other solutions.
Of course, if you have any comments or queries about this post feel free to reach out to me.