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Author: Kevin Feasel

Pulling XMLA-Modified Power BI Datasets into Source Control

Published 2023-11-01 by Kevin Feasel

Marc Lelijveld has a fix:

Have you ever found yourself stuck with a modified Power BI dataset, thanks to those well-intentioned but troublesome changes you made through the XMLA endpoint? Does that sound familiar to you? What seemed like a convenient solution quickly turned into a frustrating challenge when you encountered the error message in the Power BI Service.

You wanted to seamlessly continue your development journey in Power BI Desktop, avoiding the need for a full data refresh or just quickly making that one small change, but now hitting a roadblock when trying to download PBIX file. The error message declared that your data model had been modified with the XMLA endpoint. But now, with Git integration you can overcome this challenge!

Read on to see how.

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An Overview of the Current State of Microsoft Fabric

Published 2023-11-01 by Kevin Feasel

Paul Andrew pulls no punches:

Despite playing with different parts of the Fabric ecosystem for a long time. Nothing ever prepares you for the challenges and “quirks” faced when building a solution for real. In this post I’ll call out some of the pain points we’ve faced and features of the product still requiring improvement. Excluding some of the obvious gaps in the product like security, that we know to be coming.

Read on for Paul’s analysis on what Fabric is currently missing, but as you do read it, keep in mind that this is still in public preview and even after it goes GA, Microsoft will continue development on Fabric.

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An Analysis of Goal Line Runs out of Shotgun

Published 2023-10-31 by Kevin Feasel

I decided to test a common narrative:

A common theme among Buffalo Bills fans is the idea that the Bills run too many plays out of shotgun near the opposing team’s goal line, and this is hampering their ability to score points. Instead, these fans argue, they should run from under center, either a direct handoff or a quarterback sneak. If you were to press fans on this, I believe you’d also hear that the Bills are unique, or at least uniquely bad, at running such plays.

I’m going to use the nflfastR package to analyze play-by-play data and see just how well this bit of fan wisdom holds up.

Spoiler alert: it doesn’t.

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Log-Log Plots in R

Published 2023-10-31 by Kevin Feasel

Steven Sanderson thinks in percentages:

A log-log plot is a type of graph where both the x-axis and y-axis are in logarithmic scales. This is particularly useful when dealing with data that spans several orders of magnitude. By taking the logarithm of the data, we can compress large values and reveal patterns that might be hidden on a linear scale.

Let’s start with a simple example using base R.

Read on to see how you can create these plots and what you can do to customize them.

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Transaction Isolation Level Changes in Azure SQL MI

Published 2023-10-31 by Kevin Feasel

Emre Gokoglu goes through a customer issue:

In this technical article, we will delve into an interesting case where a customer encountered problems related to isolation levels in Azure SQL Managed Instance. Isolation levels play a crucial role in managing the concurrency of database transactions and ensuring data consistency. We will start by explaining isolation levels and providing examples of their usage. Then, we will summarize and describe the customer’s problem in detail. Finally, we will go through the analysis of the issue.

This post describes an interesting difference between on-premises SQL Server and Azure SQL Managed Instance in terms of how they handle wrapping multiple connections in a single transaction scope. It’s also the type of thing I would not have thought of when testing a cloud solution like Azure SQL MI or Azure SQL DB versus on-premises SQL Server.

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Adding a Foreign Key while Creating a Table

Published 2023-10-31 by Kevin Feasel

Steve Jones points out one of the changes to T-SQL I really like:

This assumes I’ve added a table called dbo.Order with a PK of OrderID.

However, I can do this in the CREATE TABLE statement, like shown below. I add a new section after a column with the CONSTRAINT keyword. Then I name the constraint, which is always a good practice. I can then add the FK keyword, the column and the references that connects this child column to the parent column.

This came about in SQL Server 2014, along with In-Memory OLTP and the ability to create indexes inline with the table create script. It’s a minor quality of life thing but I do enjoy it.

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Loading Data from Sharepoint Lists into Microsoft Fabric

Published 2023-10-31 by Kevin Feasel

Stepan Resl loads some data:

In a time of Fabric, it’s worth pointing out our three options for data ingestion.

  • Data Pipelines with Copy Activity
  • Dataflows Gen 2
  • Notebooks

We must compare them to understand ​​what each can offer us from different perspectives. To be able to compare them thoroughly, there are some guardrails that we need to set so that everything goes the same way.

My biggest takeaway from this is, don’t load important business data into Sharepoint Lists to begin with.

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New Release: Power BI VS Code Extension

Published 2023-10-31 by Kevin Feasel

Gerhard Brueckl has been busy:

I am working a lot with Power BI in my daily business and there have always been a couple of things that bothered me since the very beginning. Most of this is related to the web UI and its usability, mainly that you need too many clicks to get to where you want (e.g. viewing Datasets refreshes) but also that some features are simply not exposed in the UI that are possible with the Power BI REST APIs (e.g. rebinding a report to another dataset). So I thought there must be some better way to do this and make management and usability of Power BI easier and I came up with the idea for a Visual Studio Code extension for Power BI to close this gap.

Read on to see how it works, how you can get it, and what Gerhard has in mind for it over the short term.

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Plotting Logistic Regression in R

Published 2023-10-30 by Kevin Feasel

Steven Sanderson performs a logistic regression:

Logistic regression is a statistical method used for predicting the probability of a binary outcome. It’s a fundamental tool in machine learning and statistics, often employed in various fields such as healthcare, finance, and marketing. We use logistic regression when we want to understand the relationship between one or more independent variables and a binary outcome, which can be “yes/no,” “1/0,” or any two-class distinction.

Click through to learn how to do this.

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