External Article

How to Build and Deploy Azure IaaS VMs with PowerShell

The whole point of using a cloud service is to be able to use it intensively for a brief period just when it is needed and then clear out all your work when you've finished. This means automation to make the process as quick and easy as possible. It is likely to mean creating a VM, provisioning it from scratch and spinning it up using PowerShell. Relax, grab the popcorn, and let Adam Bertram show you how he does it in Azure.

External Article

Introduction to Azure SQL Database Elastic Database Pools

Traditional deployments of Azure SQL Database involve identifying projected resource requirements and selecting individual Azure SQL Database instances. For fluctuating workloads, this frequently results in over- or under-provisioning. To address this challenge, Microsoft offers another approach to sizing Azure SQL Database that relies on Elastic Database Pools. Marcin Policht takes a look.

Blogs

A New Word: on tenderhooks

By

on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...

Ramblings about data communities and your contributions, no excuses

By

I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

By

Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Read the latest Blogs

Forums

how do i map the "current" object entry in for each to one variable

By stan

hi, in an ssis  for each loop over an object variable called MyListVariable, i...

Simulating Mercury’s Orbital Motion Using Pure T-SQL (NASA 2025 Dataset)

By NKTgLaw

SQL Server is typically viewed as a transactional or analytical database engine. However, it...

Azure SQL Database | CREATE EVENT SESSION [Blocking_Capture] ON DATABASE

By DanielP

Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...

Visit the forum

Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

See possible answers