In my previous blogpost (Click here to read) I wrote about a query that just wouldn't go parallel. This sparked some discussion and interest from a few people who were very kind and helpful with their suggestions and even deep dives into the query plans, execution statistics etc. To make one thing very clear, this … Continue reading Why won’t you go parallel, part 2
Category: Performance
Why won’t you go parallel, a curious case of a stubborn query.
With an unsatisfying end. Intro So what's up this time. Our client has moved to Azure in classic lift and shift scenario. Well, almost. They've deployed new VM's and installed SQL Server 2019 Standard in nice DTAP setting. The VM's are standard E16-4as-v4 SKU. 4 vcpus and 128 GB memory. The disks are Premium SSD … Continue reading Why won’t you go parallel, a curious case of a stubborn query.
Microsoft Fabric, capacity usage and a design
This monday, I was lucky enough to attend the Fabric level 300 precon at dataMindsConnect. If you ever have the chance to go there, do it! It's very well organised, the sessions are amazing and so are all the people there. But that's not what this blog is about; today a Twitter thread started on … Continue reading Microsoft Fabric, capacity usage and a design
Speaking experiences at Data Moshpit (Berlin, Germany)
About two weeks ago I had the immense pleasure of speaking in Berlin for the first time. Now, I'm used to regular events like data saturday's and SQL Bits or dataMinds Connect as outliers because they're larger and different events. But speaking at this one is on a whole different level. As you might gather … Continue reading Speaking experiences at Data Moshpit (Berlin, Germany)
Microsoft Fabric: setting your spark compute pool size
This next blog won't be a long one and will probably serve most as a reminder for myself where to find the settings for the Spark compute pool. When you create a workspace, you get the default starter pool and it has taken me way longer than I care to admit to find where to … Continue reading Microsoft Fabric: setting your spark compute pool size
Notebook exit code 137. Cause and solution
Yes, I've been at it again with Microsoft Fabric, and as I'm trying to find the limits of this new cool toy, the limits sometimes get angry with me and throw an error. Most of the time this error is caused by me and I can usually figure out what's happening, but not always. Exit … Continue reading Notebook exit code 137. Cause and solution
Getting on-premises data into Microsoft Fabric using the data gateway
In a blog from a few weeks ago, I wrote about getting data from your on-prem SQL Server into Fabric. At the time, the only option for a copy dataflow was using a direct connection over the internet. It still is, but now you can also use the PowerBI Data Gateway to get data from … Continue reading Getting on-premises data into Microsoft Fabric using the data gateway
Microsoft Fabric: shortcuts and table clones
A few days ago, I heard the term table clone for the first time, it's preview release date was to be confirmed and I had no idea what it was about. Two days later, a video emerged where the table clone was explained on a high level. At that point, I started to wonder what … Continue reading Microsoft Fabric: shortcuts and table clones
View with a where clause
I was teaching a class and during an interesting discussing an attendee told me that views with a filter took a long time to produce results, even if the result set itself was quite small. I wanted to test this out for myself to see what was happening. I'll take you along this short journey … Continue reading View with a where clause
Fooling around with TPC-H data, ADF and Hyperscale Serverless
In one of my last blogs, I wrote about my first encounter with the Azure Hyperscale Serverless offering. Now it's time to dig a bit deeper and what it's up to. Disclaimer. Azure Hyperscale Serverless is in preview and one of the things that isn't active yet, is the auto shutdown. This means that it … Continue reading Fooling around with TPC-H data, ADF and Hyperscale Serverless









