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Category: Power BI

Dataflows as an Alternative to Incremental Loading in Power BI

Published 2020-04-17 by Kevin Feasel

Imke Feldmann gives us an alternative to Power BI’s incremental loading using Dataflows:

If you’ve been following my blog for a while, you might have noticed my interest in incremental load workarounds. It took some time before we saw the native functionality for it in Power BI and it was first released for premium workspaces only. Fortunately, we now have it for shared workspaces / pro licenses as well and it is a real live saver for scenarios where the refresh speed is an issue.

However, there is a second use case for incremental refresh scenarios that is not covered ideally with the current implementation. This is where the aim is to harvest and store data in Power BI that will become unavailable in their source in the future or one simply wants to create a track of changes in a data source. Chris Webb has beaten me to this article here and describes in great detail how that setup works. He also mentions that this is not a recommended setup, which I agree. Another disadvantage of that solution is that this harvested data is only available as a shared dataset instead of a “simple” table. This limits the use cases and might force you to set up these incremental refreshes in multiple datasets.

Read on for more information.

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Installing Power BI Management Cmdlets for Powershell

Published 2020-04-16 by Kevin Feasel

Nicky van Vroenhoven takes us through installation of the Power BI Management commands for Powershell:

The first hurdle I encountered was the fact that there was already an older version installed. After some fiddling, trying to uninstall the old modules and going through the fixed described below, I figured the documentation was probably the best start, and it was. 🙂

Nicky documents several issues but was ultimately able to pull it in.

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Using Trello as a Power BI Data Source

Published 2020-04-15 by Kevin Feasel

Gilbert Quevauvilliers shows how we can use Trello as an input for Power BI:

Where I am consulting, they use Trello boards which enables them to keep track of what tasks are being done, getting done and how things are progressing.

An interesting question came up asking how much work has been done. And I thought this could be done via Trello and looking at the number of tasks in the boards that have gone from To Do to Completed.

Below are the steps of how I completed this.

It’s a mashable world.

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Incremental Refresh with Power BI

Published 2020-04-14 by Kevin Feasel

Chris Webb talks about a special use case for Power BI incremental refresh:

Power BI incremental refresh is a very powerful feature and now it’s available in Shared capacity (not just Premium) everyone can use it. It’s designed for scenarios where you have a data warehouse running on a relational database but with a little thought you can make it do all kinds of other interesting things; Miguel Escobar’s recent blog post on how to use incremental refresh for files in a folder is a great example of this. In this post I’m going to show you how to use incremental refresh to solve another very common problem – namely how to get Power BI to keep the data that’s already in your dataset and add new data to it.

Click through for the details.

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Power BI & Disabling Export to Excel

Published 2020-04-13 by Kevin Feasel

Marc Lelijveld explains why you might not want to let users export to Excel:

Export to Excel is a feature in Excel which is available in Power BI for a very long time. It allows report users to export the data from a specific visual in the report to an editable Excel file. After exporting, they can do whatever they want. For example, sending the data to others via mail, transforming or manipulating the data, start building new reports based on the Excel file and many other things. The export option can be used by clicking the ellipsis on the right top of a visual (if the visual header is enabled).

If you have all export functionalities enabled, users can both export underlying data and summarized data. The difference is mainly raw data or only data as visible in the chart where you clicked the export button.

Read on to understand why this might not be an unalloyed good.

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Power BI Warning Regarding “Store datasets in enhanced metadata format”

Published 2020-04-13 by Kevin Feasel

Imke Feldmann does not recommend turning on the “Store datasets in enhanced metadata format” setting in Power BI all willy-nilly:

Background

With the march release came function “Store datasets in enhanced metadata format”. With this feature turned on, Power BI data models will be stored in the same format than Analysis Services Tabular models. This means that they inherit the same amazing options, that this open-platform connectivity enables.

Limitations and their consequences

But with the current setup, you could end up with a non-working file which you would have to build up from scratch for many parts. So make sure to fully read the documentation . Now!

Read on to see what has Imke concerned.

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Power BI: The Key Didn’t Match Any Rows in the Table

Published 2020-04-10 by Kevin Feasel

Chris Webb troubleshoots an issue:

One of the most common errors you’ll see when working with Power Query in Power BI or Excel is this:

Expression.Error: The key didn’t match any rows in the table

It can occur with almost any data source and in a wide variety of different circumstances, and for new users of Power Query it can be very confusing. In this post I’ll explain what the error message means and when you’re likely to encounter it using a simple example.

TL;DR You’re probably getting this error because your Power Query query is trying to connect to a table or worksheet or something in your data source that has been deleted or been renamed.

Read on to understand exactly what it means and how you can fix your code if you get this error.

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Dataflows vs Datasets in Power BI

Published 2020-04-09 by Kevin Feasel

Reza Rad disambiguates two Power BI concepts:

I have presented about Power BI dataflow and datasets a lot, and always one of the questions I get is: What is the difference between dataflow and dataset. So I thought better to explain it in a post and help everyone in that understanding. In this post, you will learn what the differences between these two components are, when and where you use each of them, and how they work together besides other components of Power BI.

Read on to learn where each is useful.

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Sharing a Dataset in Power BI

Published 2020-04-08 by Kevin Feasel

Marc Lelijveld shows how you can share a dataset in Power BI:

There are many different use cases to consider where shared datasets can be an advantage. Below I have quickly listed a few advantages, but probably you can think of many more.

– Centrally managed definitions and calculations to avoid different calculations for the same metrics and different versions of the truth.
– One central load from source to Power BI dataset, which lowers the performance impact on the source system.
– Easier to kickstart the data driven analytics experience for the business users and any other self-service analytics purposes.

Sharing here doesn’t mean giving to the broader world; it’s sharing within an organization.

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