Dustin Ryan shows off drillthrough actions in Power BI:
At some point this weekend, the Microsoft Power BI folks turned on the drillthrough feature in the Power BI service. This is the same drillthrough feature that demonstrated during day 1 of the Microsoft Data Insights Summit, which you can read about here. So I thought it’d be good to quickly walk through how you can set up the drill through action.
First, navigate to a report that you’ve already published to the Power BI service. This report will become the target of your drill-through action. Start editing the report and you’ll notice that on the right side there is a Drillthrough Filters section.
Read on for more. At the moment, this is only available within the Power BI service, not in Desktop.
Devin Knight continues his Power BI custom visuals series:
In this module you will learn how to use the Impact Bubble Chart Custom Visual. The Impact Bubble Chart is an animated bubble chart that allows you to compare two entities against each other.
It looks like there’s an issue with the video, but Devin does have links to the custom visual and a sample data set, so you can follow along without the video.
This is the story of two products – or rather one product that is now a service and another product that is now a component of another product. A few years ago, Microsoft began to formulate a mobile usability story among many fragmented tools. They had a really good reporting product: SSRS, and they had a pretty good self-service BI capability offered as a bunch of Excel add-ins; namely: Power Pivot, Power Query and Power View – but it didn’t do mobile. They bought Datazen which was a decent mobile reporting and dashboard tool, designed primarily for IT developers and semi-tech-savvy business pros to quickly create mobile dashboards using traditional data sources. Datazen wasn’t really a self-service BI tool and wasn’t really designed to work with BI data in the true sense. It was a good power user report tool but was young and needed to be refined and matured as a product. Datazen became “Reporting Services Mobile Reports” and was integrated into the SSRS platform as a separate reporting experience with a separate design tool, optimized exclusively for use on mobile devices using platform-specific mobile phone and tablet apps. Since initial roll-out, product development stalled and has not changed at all since it was released with SQL Server 2016 Enterprise Edition.
Paul gives us his current advice, as well as a hint at where things could be going.
Kerry Tyler has an interesting use of Excel:
Fortunately, there are some tools built right into Excel that make this a whole lot easier than scrolling through the list in your browser. Armed with nothing more than the URL to the CU’s KB article and Excel 2016 (or a few older versions) quick work can be made of generating custom filters for this data.
Here are the steps:
The same Power Query bits are available in Power BI, so check it out.
Reza Rad has released part 1 of a series on creating date dimensions in Power BI:
When it comes to create the date (or calendar) dimension in Power BI, there is always a question: Should I create the dimension with Power Query or DAX? This is a very good question to ask. It means that you know that there are multiple ways of creating it. What is the difference? the answer is that for many scenarios these are similar. So, it might not be different to use Power Query or DAX for it. However, there is a big difference.
Power Query can fetch data from live web APIs. This functionality gives you the power to fetch public holidays live from an API. You cannot do this with DAX! Apart from this big difference, majority of other requirements can be done with both, you can write calculations in both M or DAX to get calendar columns as well as fiscal columns. In many scenarios public holidays plays an important role in analyzing data. You would like to know how the sales was in holidays compared to other holidays and etc.
There are a few more parts forthcoming, so stay tuned.
Aaron Nelson gives us a happy report:
Power BI Report Server August 2017 Preview is now available. Think of this a “v.Next” of Power BI Report Server [On-Premises], for all Data Sources.
Here’s an excerpt from the Power BI blog post from this weekend:
“With this August 2017 preview, users can create Power BI reports in Power BI Desktop that connect to any data source, and publish their reports to Power BI Report Server. There’s no special configuration required to enable this functionality“
Read on for more information and a link to download the latest preview. It had me as soon as I read “all data sources.”
Melissa Connors shows how to take baseline data from SentryOne and visualize it within Power BI:
Using Power BI to connect to multiple baselines in SentryOne allows me to make fast comparisons. I previously translated baseline values into charts manually or through some Excel/SQL Server connections. See this post on data compression as an example. I wanted to compare performance between different compression levels (None, Row, and Page), and include the Average, Minimum, Maximum, and Standard Deviation values. Now, I have a standard template that looks better in Power BI. Once I create a baseline in my database, I have access to it in my charts. If you don’t have Power BI, you can use the query from this post in Excel or another reporting method for your comparisons.
Even if you don’t use SentryOne, the principles are generally applicable.
Devin Knight continues his Power BI custom visuals series:
In this module you will learn how to use the Dot Plot Custom Visual by MAQ Software. The Dot Plot is used to show distribution using dots among multiple categories or attributes.
Dot plots are nice because they tend to be informative while keeping the ink to whitespace ratio low.
Reza Rad shows how to build merge joins between date ranges in Power Query:
Customer’s table has the history details of changes through the time. For example, the customer ID 2, has a track of change. John was living in Sydney for a period of time, then moved to Melbourne after that.
The problem we are trying to solve is to join these two tables based on their customer ID, and find out the City related to that for that specific period of time. We have to check the Date field from Sales Table to fit into FromDate and ToDate of the Customer table.
This is a common type 2 SCD scenario. I’d be concerned that this solution would not work with large data sets which may already be pushing the size limits of the Vertipaq engine.
Matt Allington covers some of the basics of DAX:
Do I need to learn the DAX language?
You certainly do not need to know how to write DAX to get started with Power BI. Power BI is the newest business intelligence tool that leverages the DAX language (via Power Pivot) and it is definitely possible to get started and build some reports without learning any DAX at all. If you are a “consumer of reports” that other people produce for you then you certainly don’t need to learn any DAX. However if you are someone that wants to do your own adhoc (or structured) analysis of data using Power BI, Power Pivot for Excel, then you will definitely want to learn to write some DAX in order to get value from what these new tools have to offer.
It’s a good intro if you aren’t familiar with DAX.
Kevin Feasel
2017-09-06
Power BI
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