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Category: Microsoft Fabric

Naming Artifacts in Microsoft Fabric

Johnny Winter shares some advice:

With Fabric being a unified platform, the worlds of Power BI Developer and Data Engineer collide. So is a solid naming convention a good idea?

At Advancing Analytics, we say yes.

In fact, given the breadth of the platform and the variety of artifacts available for use in Fabric, it becomes even more important to have a strategy to be able to organise these items and make them quick and easy to identify.

Read on to see what Johnny recommends.

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Microsoft Fabric Notebooks and Compute Limits

Reitse Eskens hits a wall:

In this case, my notebook threw an error at me but the command seemed to finish without any issue. Sounds vague? It did to me. The notebookcell I tried to run had a lot of stuff happening at the same time.

As you can see in the above screenshot, the status shows green checkmarks but there’s an error as well. The error message was not really clear to me, but that can really be me lack of deep level experience. So, I logged a call with Microsoft Support and see what they could come up with.

I’ve had enough experience with Spark to see the issue and figure the response, but click through for the screenshot and what Reitse did to resolve the issue.

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Creating Sprint Review Reports with Azure DevOps and Fabric

Kevin Chant checks the burndown:

In this post I want to cover using Azure DevOps Analytics views and Microsoft Fabric to create Sprint review dashboards.

I consider this post to be a sequel to one of my post popular posts that covered using Azure DevOps Analytics views and Power BI to create Sprint review dashboards. For four very good reasons.

Read on for those reasons, along with the steps Kevin took.

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Diving into the Microsoft Fabric Copy Activity

Reza Rad does more than copies:

Copy Activity is one of the most commonly used activities in Microsoft Fabric’s Data Factory Pipeline. The Copy Activity copies the data from a source to a destination. However, there is more to that rather than just a simple copy. In this article, you will learn what Copy Activity is, its rationale, how it works, and its configuration options.

Reza has a video, as well as a demo-heavy full-length article on the topic.

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Logging Notebook Runs in Microsoft Fabric

Reitse Eskens checks the logs:

I reported an issue yesterday with Microsoft Support and during the following call today (they’re really quick to set up an initial meeting), the support engineer showed me where I can find a lot of logging information.
Suppose you’ve got a notebook that has been run a few times. The front-end will only retain the information from the last run. If you see an error, for example this one

Click through to learn where you can find these execution logs.

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Microsoft Fabric Licensing and Capacity

Aimee Johnson explains how Microsoft Fabric licensing works:

Microsoft Fabric is a Software-as-a-Service platform (SaaS) which enables you to build an end-to-end analytics solution without the need to spin up complex infrastructure. If you want to know more about Microsoft Fabric then check out our introduction blog post which you can find here.

Since Microsoft Fabric has been announced there have been many questions and queries about licensing and in this blog post I will go through everything you need to know!

One thing I keep forgetting is that Power BI Premium P1 is equivalent to Fabric F64; I keep wanting it to be F32 or F16, but that’s because I’m frugal that way.

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Using the Microsoft Fabric Data Gateway

Reitse Eskens uploads some data:

In a blog from a few weeks ago, I wrote about getting data from your on-prem SQL Server into Fabric. At the time, the only option for a copy dataflow was using a direct connection over the internet. It still is, but now you can also use the PowerBI Data Gateway to get data from your SQL Server into Fabric.

In this blog, I’ll take you through the steps needed and an issue I ran into.

Read on for Reitse’s instructions and how to avoid the issue he ran into.

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Trying Fabric Data Wrangler

Reza Rad looks at a new tool:

There is a tool (or you can consider it as an editor) in Fabric for data scientists. As a data scientist, you must work with the data, clean it, group it, aggerate it, and do other data preparation work. This might be needed to understand the data or be part of the process you do to prepare the data and load it into a table for further analysis. Data Wrangler is a tool that gives you such ability. You can use it to transform data and prepare and even generate Python code to make this process part of a bigger data analytics project.

Data Wrangler has a simple-to-use graphical user interface that makes the job of a data scientist easier.

Read on for a video as well as a demo in written format.

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An End-to-End Microsoft Fabric Implementation

Jordan Witcombe takes us through an example:

This blog will walk you through the entire data lifecycle of ingesting data from SharePoint and Azure Blob Storage, through the lakehouse pattern, and finally to the reporting stage – all using Microsoft Fabric.

As we’re well into summer now, festivals can be a great way of spending time with friends and family. But all too often, we each want to see various acts and activities. How can we make this easier? With this dataset I created, it takes a simple Excel / CSV file with acts, stages, who wants to see this, and a personal rating. We will run this through the lakehouse pattern and finish with a curated/gold layer which can be used for reporting directly on top of. For more information on lake layers, you can see Ed’s blog Medallion Architecture: What is it?. So, you can highlight those clashes and keep everyone happy during your festival fun!

Read on for the showcase.

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