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Power BI

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Tableau vs PowerBI behavior in Direct Query Mode , Result Cache
Tableau vs PowerBI behavior in Direct Query Mode , Result Cache
I was intrigued why Tableau and PowerBI have a different behavior when operating in a Direct Query Mode ( Tableau call it Live Mode), I always assumed it is just a driver difference, but it seems i…
·datamonkeysite.com·
Tableau vs PowerBI behavior in Direct Query Mode , Result Cache
Sharing individual Power BI dataflows, but how?
Sharing individual Power BI dataflows, but how?
Recently, I have had a challenge at a customer, where a central teams maintains many dataflows in Power BI, to store their only and single version of the truth. However, this central team maintaine…
·data-marc.com·
Sharing individual Power BI dataflows, but how?
About waiting time for Power BI Desktop to open - SQLBI
About waiting time for Power BI Desktop to open - SQLBI
Did you ever experience a long waiting time while opening a Power BI Desktop file? There could be many reasons for that, but if you have calculated columns
·sqlbi.com·
About waiting time for Power BI Desktop to open - SQLBI
Refresh Power BI Datasets with ADF or Synapse (MSI)
Refresh Power BI Datasets with ADF or Synapse (MSI)
Case I want to refresh my Power BI Dataset as soon as my ETL process has finished. I don't want to schedule my dataset refresh x minutes/ho...
·microsoft-bitools.blogspot.com·
Refresh Power BI Datasets with ADF or Synapse (MSI)
Azure Function with PowerShell and the Power BI REST API
Azure Function with PowerShell and the Power BI REST API
In this blog post I'm going to show you how you can create an Azure Function that will interact with the Power BI REST API. I choose PowerShell as the programming language because in my opinion it was a bit easier to authenticate with the Power BI service. For the development environment, I'm using
·sqlkover.com·
Azure Function with PowerShell and the Power BI REST API
Supporting multi-developer scenarios for Power BI using ALM Toolkit
Supporting multi-developer scenarios for Power BI using ALM Toolkit
CI/CD, Branching and other DevOps concepts are very beneficial when it comes to development processes for software or in IT in general.Unfortunatelly Power BI falls short when it comes to support some of the concepts of DevOps out of the box. In this situation external tools may come to the rescue an
·flip.it·
Supporting multi-developer scenarios for Power BI using ALM Toolkit
Azure Synapse Analytics & Power BI | James Serra's Blog
Azure Synapse Analytics & Power BI | James Serra's Blog
I discuss the different ways you can make Power BI queries run faster, and whether you still need Azure Analysis Services or if the tabular model within Power BI is enough.
·jamesserra.com·
Azure Synapse Analytics & Power BI | James Serra's Blog
Viridis color palettes in Power BI theme files
Viridis color palettes in Power BI theme files
I am a fan of the viridis color palettes available in python and R, so I decided to make Power BI theme files for each of the 4 color maps (viridis, inferno, magma, plasma). These color palettes ar…
·datasavvy.me·
Viridis color palettes in Power BI theme files
Calculated columns and measures
Calculated columns and measures
One of the powerful features of the Tabular data model is to extend the model by adding calculated columns and measures. Both objects are defined using DAX, but besides this similarity, they are entirely different beasts. Here you will find guidance when to use what!
·minceddata.info·
Calculated columns and measures
Power BI usage scenarios: Advanced data preparation - Power BI
Power BI usage scenarios: Advanced data preparation - Power BI
Learn how Power BI advanced data preparation is about improving the reach and reusability of dataflows.
he use of separate dataflows based on purpose: staging, transformation, or final. We recommend using composable building blocks to obtain greater reuse, in various combinations, to support specific user requirements. Composable building blocks are described later in this article.
focus of this advanced data preparation scenario is on:
For a dataflow that's intended for reuse, it's common (but not required) that the creator belongs to a centralized team that supports users across organizational boundaries (such as IT, enterprise BI, or the Center of Excellence).
A staging dataflow is created in a workspace that's dedicated to the centralized management of dataflows. A staging dataflow copies the raw data as-is from the source. Few, if any, transformations are applied.
Use of composable building blocks is a design principle that allows you to manage, deploy, and secure system components, and then use them in various combinations. Creating modular, self-contained dataflows that are specific to a purpose is a best practice. They help to achieve data reuse and enterprise scale. Modular dataflows are also easier to manage and test.
·docs.microsoft.com·
Power BI usage scenarios: Advanced data preparation - Power BI
Side effects of rounding differences in Power BI - SQLBI
Side effects of rounding differences in Power BI - SQLBI
It is not common to face rounding differences in Power BI. However, when it happens, users are usually disappointed and surprised. In one of the last classr
·sqlbi.com·
Side effects of rounding differences in Power BI - SQLBI