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Category: Power BI

Using Stored Procedures in Power BI

Annamarie Van Wyk makes a call:

The aim of this blog is to take you through one example of executing SQL stored procedures in Power BI. Similar to SQL Server Reporting Services (SSRS) we can create parameters that will be used to return a result set based on the output parameters that were selected.  The parameter selection will be available on the Power BI home page. The data used in his example is production line data. The production line is inside a factory where products are being packaged during a certain shift and at a certain production run date. It is literally a factory line with products being packed.

Read on for a simple answer, followed by how to parameterize the procedure call.

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Benchmarking Power BI Local Data Import Speed

Eugene Meidinger has all the data he needs on his desktop:

The chart above shows the number of seconds it took to load X million rows of data from a given data source, according to a profiler trace and Phil Seamark’s Refresh visualizer. Parquet is a clear winner by far, with MS Access surprisingly coming in second. Sadly the 2 GB file limit stops Access from becoming the big data format of the future.

Part of the reason I wanted to do these tests is often people on Reddit will complain that their refresh is slow and their CPU is maxed out. This is almost always a sign that they are importing oodles and oodles of CSV files. I recommended trying Parquet instead of CSV, but it’s nice to have concrete proof that it’s a better file source.

Read on for the chart. Also, don’t tell his accountants about the gaming laptop. It’s 100% for work purposes, just like my desktop PC. Only work, nothing else, IRS. The high-end GPU is for AI work. And the big screen is for doing big business.

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Determining Power BI Report Fields in Use

Meagan Longoria performs a search:

Have you ever wondered where a certain field is used in a report? Or maybe you need an easy way to find broken field references in a report? Certain 3rd-party tools such as Measure Killer and Power BI Helper (not updated recently) have helped us with this task in the past. But now we can perform this task with a notebook in Fabric!

This is made possible by the Semantic Link Labs Python library. Please note that PBIR format is still in preview at the time of publishing this blog post, so use it at your own risk. Also, this works only on reports published to the Power BI service. Since this notebook is not making any changes to the report, I feel it’s pretty safe to run, but do remember that it uses CUs on your Fabric capacity while you run it.

Read on to see how it works.

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Contrasting Power BI and Power BI Report Server

Soheil Bakhshi makes me sad:

Depending on your organisation’s preferences, data governance requirements, and the platforms you intend to use for report deployment you may use either Power BI Desktop, the “standard version”, or Power BI Desktop RS (Report Server). Power BI Desktop has variations tailored to meet specific needs, such as cloud-based analytics or on-premises reporting. While many users might only encounter the standard version, there’s another important variant for specialised scenarios.

You know the meme where the kid asks, “Mom, I want Power BI!” and mom says, “We have Power BI at home.” Power BI Report Server is Power BI at home, in all of the senses of the joke. I’ve been stuck with it at two employers and although it is better than nothing, you quickly find out how annoying it gets when that thing you know how to do in Power BI Online doesn’t work because they never supported it in PBIRS.

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Power BI Writeback via Fabric SQL Database

Jon Voge gives us a use case for Fabric SQL Databases:

Until recently, Fabric has allowed us to choose between Lakehouses and Warehouses as a backend. For write-back use cases, neither are ideal.

  • The SQL Endpoint of Lakehouses are Read-Only, making writes from Power Apps impossible.
  • While the SQL Endpoint of Warehouses are write-enabled, they do not support enforced Primary Keys, which are a hard requirement for Power Apps to be able to write directly to a data source.

Jon briefly describes two mechanisms people used and then how you can do this more effectively with a Fabric SQL Database. Based on the article, it seems that you could probably still do the same with an Azure SQL Database, though I suppose handling the managed identity could be an issue.

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Obtaining VisualIDs for Visuals in a Power BI Report

Sandeep Pawar checks for ID:

Log Analytics and Workspace Monitoring in Fabric logs all the activities of datasets in a workspace. These logs contain dataset, report, visual IDs which the user has to decipher to get the full picture. Dataset, report ids are straightforward but it’s not easy to get visual IDs programmatically. Chris Webb already has a blog on couple of different ways to get the visual IDs. That blog was published in 2022 and in the Fabric world we now have a couple of more options.

Read on for two additional methods you can use.

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Custom Fonts in Power BI Reports

Elena Drakulevska opens a can of worms:

You’re presenting an amazing Power BI report filled with insights, but it feels like something’s missing. The visuals are great, but the default font? Meh. It’s like wearing flip-flops to a black-tie party.

That’s where custom fonts in Power BI come in to elevate your report and add that personal touch. Fonts do more than look good—they set the tone, show off your brand, and make your reports more engaging and easier to read. In short, they help your reports stand out.

Read on to see how, as well as important reasons why you might not want to use them.

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Aggregate Functions in Power BI

Hristo Hristov writes some DAX:

At times when using Power BI, you want to combine your data to produce an aggregated value. The aggregation is performed over some criteria – frequently this may be time (year, month, date) or a categorical value. Some popular aggregation functions to apply can be Sum, Average, Maximum, Minimum, or Count. Typically, Power BI applies certain aggregations by default when adding data fields to visualizations. What if you wanted to create your own data aggregations? To achieve better understanding of the underlying data, how can you attain fine-grained control over the aggregations?

Read on for several DAX measures, including totals, running totals, moving averages, and day over day changes.

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Creating a Numbers Table in Power Query

Koen Verbeeck builds a tally table:

Sometimes you need a numbers table (also called tally table) when you’re working with data. It’s a table with one single integer column that contains incremental numbers (0,1,2,3,4,…). In a database, it’s fairly easy to generate using either cross-joins or a generator function (GENERATE_SERIES in T-SQL). Recently, I needed such a table in Power BI Desktop. Suppose you don’t have a database as a source (or maybe you cannot change the database), so we need to generate this in Power Query.

Read on to see how.

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Bullet Charts in Power BI Reports

Kurt Buhler is number one with a bullet (chart):

A report visual is useful when it displays information in a meaningful context. This context refers to other relevant data that helps someone interpret figures in a visual and use it to make decisions or take actions. The most common way to provide context is to compare actuals to a target.

There are many ways to compare actuals to a target, and in this article, we will explain in detail one way to do this by using a popular variant of the bar chart known as a bullet chart.

Kurt lays out several ways to implement a bullet chart in Power BI, so check that out.

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