PowerPivotPro

PowerPivotPro is Coming to Atlanta

March 20 - 22, 2018

Registration for 2018 Public Training is now open!

AVAILABLE CLASSES

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

MARCH 20 - 21

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!

  • Learn Microsoft’s secret weapon behind Power Pivot & Power BI: DAX
  • Taught by Austin Senseman – PowerPivotPro Partner
  • You don’t need to be an IT professional – most of our students come from an Excel background
Atlanta Public Training Classes
Atlanta Public Training Classes

MARCH 20 - 21

Level Up Series: Advanced DAX

Instructor: Ryan Sullivan

The Advanced DAX Course was such a hit in the first half of 2017 that we’ve expanded the course to 2 days!

Overview

  • This advanced DAX training class is taught completely in Power BI Desktop
  • Students are encouraged to take our Foundations course and have hands on experience with the DAX language
  • Taught by Ryan Sullivan – Principal Consultant
  • Class material drawn from usage of Advanced DAX applications while consulting with hundreds of international firms

MARCH 22

Level Up Series: Power Query for Excel & Power BI

Instructor: Ryan Bergstrom

The second class in the series is our Level Up Series is Power Query for Excel & Power BI.

  • Students are encouraged to take our Foundations course and have hands on experience with Power Query in Excel or Power BI Desktop
  • Taught by Ryan Bergstrom – Principal Consultant and Trainer
  • We will cover common to unique business challenges made easy with Power Query’s data wrangling capabilities
  • Intermediate to Advanced Level Power Query best practices distilled into easy to understand patterns to apply to your most common business challenges
Atlanta Public Training Classes
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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

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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.

FlatToStar
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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