PowerPivotPro is Coming to Houston

April 17 - 19, 2018


**Use the discount code “3ORMORE” when signing up 3 or more people.

APRIL 17 - 18

Foundations: Power Pivot & Power BI

Instructor: Austin Senseman

Super charge your analytics and reporting skills with Microsoft’s dynamic duo. Designed to handle huge volumes of data, these tools will transform the way you work. Two Days in our class and you are EMPOWERED!


  • Not just the “hard” skills, but also the “soft” stuff (when and why to use it, how to get the best results for your organization, etc.)
  • Learn Microsoft’s secret weapon behind Power Pivot & Power BI: DAX
  • You don’t need to be an IT professional – most of our students come from an Excel background
PowerPivotPro Training Classes - Houston
PowerPivotPro Training Classes - Houston

APRIL 17 - 18

Level Up Series: Advanced DAX

Instructor: Ryan Sullivan

Foundations taught us how to remove repetitive, manual work and make impactful insights. Advanced DAX is about making it rain money by better informing decisions!


  • Taught completely in Power BI Desktop
  • If Foundations is a 101 course, hands-on work experience with DAX is 201, and Advanced DAX is 301.
  • This class will teach you how DAX really works, how to build complex reports that are still digestible, and how to use that information to drive your business.


Level Up Series: Power Query for Excel & Power BI

Instructor: Ryan Bergstrom

Copy-paste? Dragging formulas down? SAME THING EVERY WEEK?… No more. Teach your computer how to build your reports for you. Set and forget!


  • This class will teach you how to connect to all of your data (no matter where it lives), shape it so DAX can run automagically, and have your computer remember the steps so you never have to do it again.
  • You don’t need to be an IT professional – most of our students come from an Excel background
  • Taught simultaneously in Excel and Power BI
PowerPivotPro Training Classes - Houston
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Fully-Customizable DAX-Based Alerts In Power BI And Power Pivot, Our New Class Schedule, And Announcing A Contest!

Fully-Customizable DAX-Based Alerts in Power BI and Power Pivot, Our New Class Schedule, and Announcing a Contest!

This Email and the Highlighted Text were Automatically Generated in Response to DAX “Detectors” Scanning Our Results During Scheduled Refresh I’ve Wanted this Feature Forever.  We Now Have It. Classes Announced for Houston, Los Angeles, Indianapolis, and London First, we…

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Datazen = Beautiful Mobile Dashboards to Make Power Pivot Shine

Post by Rob Collie and Chris Finlan

Datazen: A Beautiful, Mobile-Optimized Dashboard Delivery System That Makes Your Power Pivot Work Shine VERY Brightly

Datazen (The Latest Addition to Microsoft’s Suite of BI Tools) is a Mobile Monster
(Monster in a GOOD Way.  Yes, PowerPivotPro has its own DZ Custom Theme – You Can Too)

Datazen Q&A With Chris Finlan

***Intro from Rob:  Today I’m interviewing Chris Finlan of Microsoft about MS’s recent acquisition of Datazen, and what this means to us in the Power Pivot and Power BI community.

ROB:  Last month, Microsoft purchased a company named Datazen.  Most people had never heard of Datazen before, but you had pointed them out to me last summer I think.  You were already a big believer in them at that point, as were your customers.

CHRIS:  Yeah, I love Datazen.  I’m as passionate about it as you are about Power Pivot. I think it’s an extraordinary product, and have felt this way for quite some time Don’t believe me? Check out the date of my review in the Windows Store.  (Spoiler alert:  it was April of 2013 – that’s before I even applied for a job at Microsoft).

ROB:  You’re truly a trendsetter in tech and clothing.  I think one of the natural first reactions/questions from the community is, “wait, did MS just buy one of Power BI’s competitors, and if so, when do I use it versus, say, Power Pivot?”

CHRIS:  No, DZ was designed from the beginning to “only” be a visualization layer on top of the Microsoft Data Platform.  In your post on Visualizations Layers in Perspective: The Last Mile, you pointed out three key reasons at the end on why you’d buy a visualization tool.  Datazen checks all three boxes (and oh by the way, there’s no longer anything to buy – it’s simply a benefit you receive when you license SQL Server Enterprise with Software Assurance).

ROB:  Which means it’s free for many existing MS customers.  More on that later.  But I also want to talk about how DZ can be used to “light up” the great work being done by Power Pivot practitioners, because hey, that’s what we do around here.

Any Flat Table in Excel Can “Power” a Datazen Dashboard


EX:  Power Pivot Produces a Flat Pivot (or DAX Query Table),
and DZ Can Use That Excel File as a First-Class Data Source.
(The ONLY Server Required Here is a DZ Server – No SharePoint, No SQL, No SSAS)

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Flat to Star Transformation using DAX Query

By Avi Singh [Twitter]

As I have started working with clients around training/consulting, I am surprised by how often I find FlatToStar_RockyIVtables that have been flattened, i.e. the data tables have been combined (joined) with lookup tables, to produce a really wide table with everything and the kitchen sink in it. Maybe that’s to be expected; after all that is the modus operandi when working in Excel. That’s the first habit that I try to break. I would nominate this for the top 5 mistakes but that already has 6 on the list 🙂

Usually it is just a matter of changing how data is being pulled from the source to address this issue, and go from flat table to separate Data and Lookup tables (Star Schema). However at times, your data source itself may only have the flattened version of data. If you have little control/influence over the data source, you may be stuck with a flat table. Or not!

Flat to Star: Using DAX Query

The first thing that should come in your mind to deal with this should be Power Query, and we will cover that. But this time let’s try to use DAX as a query language for this purpose. Our sample data, is a flattened file which has sales data as well as product attributes. We would like to separate these into distinct power pivot tables.

Go from a flat wide table to separate Data and Lookup tables

The hardest part is getting started; for that watch the video. I will skip to the DAX query used, with a tip of the hat to Marco and Alberto from whom I have learned so much (and continue to do so).


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