In a previous article, I explored techniques for using PowerShell to access data in SQL Server. I covered topics like reading data from a SQL Server table and inserting data into a table. Of course, there are plenty of ways to access SQL Server data without using PowerShell.
The rationale behind using PowerShell lies in its capabilities for advanced scripted data analytics. It can also be used as an automation engine, taking actions based on data. For example, PowerShell could monitor an organization’s HR database for the addition of new employees and, if any are found, automatically set up their user accounts.
Whether you are interested in data analytics or data-driven orchestrations, you will need to know how to filter data to give PowerShell what it needs. Filtering can be done either at the SQL Server level or within PowerShell itself. However, for handling large datasets, it’s usually best to filter at the SQL level. In this article, I will demonstrate both techniques.
In Figure 1, you can see that I have used a simple PowerShell command to read data from a table in a SQL Server database. I added that data