In this post, we will talk about the new property that appears in the SQL 2016 version: Auto Adjust Buffer Size. This attribute is specific to the “DataFlow” component and can take the values of ‘True’ or ‘False’ (default). Furthermore, we will propose an approximate solution for previous versions.
As you know, as long as you are not totally oblivious to the technological world you will have heard about one of the biggest bugs in the history of computer science (Spectre and Meltdown) and that its effects are real. So real, that we ourselves at SolidQ ourselves have experienced it in our own Query Analytics software. In this post I will try to shed some light on how to proceed if you detect performance regression in your solution with SQL Server, explaining how I have solved it in my own system.
I have uploaded a repository containing a helper to analyse the Data Migration Assistant tool results to GitHub. I have compiled and improved Microsoft’s version released last March in order to process aggregated results from multiple servers using Microsoft’s static code analysis tool. (more…)
Most of the content of this post is platform-agnostic. Since in these days I’m using Azure Machine Learning, I take it as a starting point of my studies.
It’s quite simple for an Azure Machine Learning average user to create a regression experiment, make the data flow in it and get the predicted values. It’s also easy to have some metrics to evaluate the implemented model. Once you get them, the following questions arise:
- How can I interpret these numbers?
- Are these metrics enough to assess the goodness-of-fit of the model?
This post wants to provide you with the statistical foundation behind these metrics and with some additional tools that will help you to better understand how the model has fitted. These tools are implemented in a R script you can simply copy&paste into an Execute R Script module.
Read the rest of the article here:
SQL Server 2016 really represents a drastic change for the better in regards to general performance. And the proof is that, thanks to the engine changes, this is the first SQL Server version where Microsoft actively provides a widespread increase in performance levels by simply upgrading. But what impact can it have in your daily loads if you use columnstore indexes in SQL server 2014 datawarehouse? There was already an amazing increase in performance levels with SQL Server 2014 and the columnstore indexes. Is it worth upgrading to SQL 2016? (more…)
How to bulk copy Azure ML Experiments from a Workspace to another one or do a Backup of them in Physical Files
today I want to tackle the issue of bulk copying more than one Azure ML experiment at once between different workspaces.
May be you already know that you can partially solve this task by copying an experiment one at a time. But you have to access to both the workspaces with your user. If not, you can simply share a workspace in this way:
Once you can see both the workspaces in your Azure Machine Learning Studio, you can simply select an experiment and than “Copy to workspace”:
and than you can choose the destination workspace:
A you can imagine… you can’t simply select more than one experiment and than copy all them:
Now suppose you have dozens of experiments and simply you don’t want to waste your time coping them all manually, or moreover you can’t have access to a shared workspace for security reasons. Is there a way to bulk copy your experiments? I’ll show you how to do that using few rows of PowerShell.
I just returned from a meeting with some of my peers at SolidQ and we were talking about the value of blogging and publishing articles. A few days ago, another one of my peers asked me to review his first-ever blog post before it was published. Douglas McDowell, CEO of SolidQ North America, shared a … Continue reading
What! NO? Get with it, my friend. Power BI is for everyone. All the kids are doing it… not to mention the business owners, marketers, sales campaign planners and scientists, IT Pros and common folk. Power BI is all the rage and can be used to analyze everything under the sun – oh, and that … Continue reading
Choosing the right visualization control for a set of data can sometimes be challenging. I find some aspects of designing dashboard solutions in Datazen on the surface to be very simple but it’s easy to get stuck in the details and fine points. The purpose of this guide to help simplify and categorize visual control … Continue reading
SQL Server Pro Magazine is hosting my 3-part series, Designing a Mobile Dashboard Solution with Microsoft DataZen on Thursday. The first one hour session begins at 11 AM Pacific, 3 PM Eastern Time. There are three sessions in the series which include: Session 1: Introducing DataZen and Building a Server – 11am EDT Session 2: … Continue reading