A quick Q&A-related tip. If you create a report in Power BI Desktop and use a Power BI service live connection:
…and then you put a Q&A button on the report, clicking on the button gives the following error message:
Q&A isn’t supported for reports that use DirectQuery data sources, live connections to older Analysis Services data sources, or non-English language models
However, this message only means that Q&A buttons do not work in Power BI Desktop with Power BI service live connections. If you publish the report to the Power BI Service you will find that the Q&A button does work correctly.
[Thanks to Seth Bauer and Aaron Meyers for the information]
An interesting – if obscure – fact I learned recently is that a small number of DAX functions such as Median() do not work on tables with more than 2 billion rows in Analysis Services Tabular, Azure AS and Power BI.
It’s quite easy to reproduce in Power BI. The following M expression returns a table with two billion and four rows:
#"Converted to Table" =
#"Changed Type" =
#"Converted to Table",
It takes some time to load this table – around twenty minutes – but because there are only four distinct values in the table the resulting .pbix file is only 31KB thanks to the way Power BI compresses data.
If you load this table into your dataset, call it VeryBigTable and create the following measure:
Median Test = MEDIAN(VeryBigTable[Column1])
…and use the measure in a visual, you’ll see the following error:
The current query cannot be evaluated for the ‘VeryBigTable (42)’ table, because the table contains more than two billion rows.
What’s more, the error will always occur even if you apply a filter to the table that returns less than two billion rows. The same problem occurs with some other functions, such as Percentile(), but it’s worth pointing out that the vast majority of DAX functions work as normal with tables with more than two billion rows – for example, in the pbix file used here the Sum() and CountRows() functions not only work fine but return instantly.
Luckily, in the case of the Median() function, there is an easy workaround because you can calculate a median in other ways such as the one described on the DAX Patterns site here. The code is a lot more verbose but it works on a 2 billion+ row table.
While writing my Microsoft Business Applications Summit session on Power Query-related reasons for Power BI dataset refresh failures (which you can watch online here for free, along with all the other sessions), I remembered something important that I have been meaning to blog about for a while. It’s an excellent article by Ehren von Lehe of the Power Query dev team that contains the first fully detailed explanation of how the Power Query Formula Firewall and data privacy settings actually work. Called “Behind the scenes of the Data Privacy Firewall” you can read it on the Power Query MSDN forum here:
“Who, or what, is Paginated Report Bear?” I hear you ask. Well, he’s the breakout social media star of 2019, a furry YouTube sensation whose incisive interviews of members of the Power BI development team have become renowned for their deep technical content and insights into the Power BI roadmap. If you’re not watching his videos on YouTube, you’re missing out. Guy In A Cube is so 2018.
[That’s me on the left and Paginated Report Bear on the right]
Anyway, one question I am asked all the time is what the future holds for Analysis Services Multidimensional. While there is no firm news on what’s happening here, two of Paginated Report Bear’s recent interviews have discussed this topic and are particularly revealing. If you’re an SSAS MD and MDX fan I strongly recommend you watch the interviews with Josh Caplan:
…and Amir Netz:
I also had the honour to be interviewed by him at the Microsoft Business Applications Summit this week and we discussed this topic too, although I would like to stress that unlike Amir and Josh I have absolutely no influence on the decisions made in this area; in any case, my opinions on this topic might surprise some of you.
Recently I found I needed to remove all the HTML tags from some text in Power Query. I searched and found a great – if complex – function from Marcel Beug here, but I realised that since that post was written the Html.Table M function has been added to the language and that it makes the task very easy. In fact it’s basically the same as the solution I blogged about here for extracting URLs from a web page.
I have an announcement: tomorrow (Monday June 3rd) I’m starting a new job on the Power BI CAT team at Microsoft. It won’t affect what happens here on my blog, but I wanted to write this post because so many people have asked me why I’m making this move.
First and foremost the job at Microsoft offers some exciting new challenges for me that I wouldn’t get as a self-employed person. I’ll get to work on some of the biggest, most complex Power BI implementations in the world, provide feedback to the Power BI development team, and still be able to speak at conferences and do many of the other things I love doing now. I’ll also have the pleasure of working with a truly stellar bunch of colleagues who I know I’ll learn a lot from. And of course, what better product to work on than Power BI and what better tech company to work for nowadays than Microsoft? Power BI is going from strength to strength and I want to make a direct contribution to its future success.
What’s more the offer from Microsoft came at a time when I was getting a bit bored with the work I’ve been doing. If you do any job for long enough it gets repetitive and in my case after thirteen years (over a quarter of my life!) of running my own company I felt like I needed a change. Also, as I have made the shift from being a SSAS/MDX guy to being a Power BI guy I’ve been doing less and less technical consultancy and more and more training, mostly in the form of introductory Power BI courses. I enjoy training, I’d like to think I’m fairly good at it and it has proved very lucrative indeed – I just don’t want to be a full-time trainer, teaching the same material week after week.
Training and consultancy also involve a lot of travel. Over the last few years I’ve averaged more than ten nights per month in hotels and on top of that there were many nights when I got home late after a long journey back from a customer site. My wife has been very supportive and it’s all my kids have ever known, but it’s tiring and I want to spend more time with my family before my kids grow up and leave home. I’ve been to some interesting places on business I would never have been to otherwise and worked with some great companies, so yes, I have enjoyed myself. Business travel is nowhere near as glamorous or thrilling as it may seem, though, and I’m happy that I’ll be doing less of it. There’s also the risk that Brexit (if and when and how it ever happens) will stop me from working in Europe as easily as I have done in the past, so travelling as much might not even have been an option going forward.
Being self-employed has been a great experience and it’s something I would recommend to anyone who is thinking of doing it. I’m immensely grateful to all my customers, business partners and fellow members of the SQL and Power BI communities for making Crossjoin Consulting so successful. However it’s time for me to move on and try something new. Wish me luck! I’ll be back to blogging about Power BI, Power Query, SSAS, DAX and M next week.