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Day: July 5, 2024

Modifying Column Return Order in sp_QuickieStore

Josephine Bush demands order:

I love QuickieStore, but I wanted some columns to be at the front end of the results returned. Namely, I wanted top_waits, query_sql_text, and query_plan right after database name. This way I don’t have to scroll over to see those values.

Unfortunately, it would appear that there’s no advanced functionality for column ordering like we have for sp_whoisactive. But that didn’t deter Josephine, and you can grab a copy of an updated script that includes columns in this different arrangement.

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Dealing with Query Store in Error State

David Fowler turns it off then back on again, like a true IT professional:

I recently received a complaint that Query Store for a particular database was turned off, which was strange as that particular database has seen quite a few performance issues and I know that I’d ensured Query Store was enabled in the past.

No problem, I flicked the switch and Query Store was enabled again.

Half an hour or so later and I’m being told that Query Store is again disabled. What’s going on?

Read on to learn what to do if you get stuck with this problem.

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Real-Time Intelligence in Microsoft Fabric

Dennes Torres takes a peek at a service with a new name:

When everyone starts to announce Real-Time Intelligence in Microsoft Fabric as something new, I need to double check what’s happening: Am I crazy or is everyone else? Wasn’t this already there?

Finally, I realize that Real-Time Intelligence is a new name for Real-Time Analytics, and they are doing this so fast we don’t even have time to notice the difference.

What’s Real-Time Intelligence and what’s the difference from Real-Time Analytics?

Read on for those answers.

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Performance Testing Microsoft Fabric Dataflow Gen2

Reitse Eskens hammers away:

In my previous blogs, I’ve been hammering Fabric with data from some different angles. Either with the Copy dataflows, notebooks, Pipelines, Data Warehouse SQL scripts or in PowerBI.
This time, I’m going to make the dataflow Gen2 work for it’s money.

Reitse tries the normal mechanism for Dataflows Gen2, but then also tries out a preview feature for fast copy and sees a marked difference.

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RIP Stretch DB

Debbi Lyons calls it:

Ever since Microsoft introduced SQL Server Stretch Database in 2016, our guiding principles for such hybrid data storage solutions have always been affordability, security, and native Azure integration. Customers have indicated that they want to reduce maintenance and storage costs for on-premises data, with options to scale up or down as needed, greater peace of mind from advanced security features such as Always Encrypted and row-level security, and they seek to unlock value from warm and cold data stretched to the cloud using Microsoft Azure analytics services.     

During recent years, Azure has undergone significant evolution, marked by groundbreaking innovations like Microsoft Fabric and Azure Data Lake Storage. As we continue this journey, it remains imperative to keep evolving our approach on hybrid data storage, ensuring optimal empowerment for our SQL Server customers in leveraging the best from Azure.

This is not surprising at all, considering that the premise of Stretch DB was that you could off-load old and less-important data from your local SQL Server instances and expensive local disk into Azure, querying it when you need that data. The problem was, you couldn’t use cheap storage and pay a few cents per gigabyte of data per month. Instead, you were effectively spinning up Azure Synapse Analytics and paying a marked premium for your least important data. The price alone made this an untenable idea, but there were other holes in the plan as well that doomed it as a product.

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DAX Variables and Iterators

Nikola Ilic takes us through two major concepts in DAX:

“DAX is simple, but not easy!” – famously said Alberto Ferrari, when asked which best describes Data Analysis Expression language. And, that’s probably the most precise definition of the DAX. It may look very easy at first glance, but understanding nuances and how DAX really works, requires a lot of time and “try and fail” cases.

Obviously, this article is not a deep-dive into DAX internals and will not go into these nuances, but it will (hopefully) help you to get a better understanding of the few very important concepts that will make your DAX journey more pleasant and assist you in preparing the DP-600 exam.

Click through for Nikola’s explanation of each.

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