Leila Etaati, a Data Soup Summit speaker, will be in the USA for a month and presenting a one day workshop at the following locations
- SQL Saturday Minoseta 11 October:
- Saturday Atlanta BI Edition 18th October:
- Power Platform Orlando 14th October:
Adam looks at how you can build a slicer panel, in Power BI, and take it to the next level.
Using a combination of features in Power BI Desktop, you can make a great user experience.
In this opening session to to the Microsoft Business Applications Summit, watch the Microsoft’s BI leadership team present the Microsoft Power BI vision and strategy.
Adam Saxton from Guy in a Cube is joined by Amanda Cofsky to learn how you can use buttons, in Power BI Desktop, to take your reports to the next level.
Patrick LeBlanc from Guy in a Cube shows you how to export a Power BI Template file and then use that to create a new Power BI report within Power BI Desktop.
Here’s a great video demonstrating the power and flexibility of DAX with 50 real world examples you can download and follow along with the samples files.
- (01:27) Filter Context, First Look
- (04:40) CALCULATE to change Filter Context with a Boolean Filter
- (05:10) CALCULATE and CALCULATETABLE DAX Functions
- (06:28) What is a Boolean Filter?
- (08:00) First look at the Overwrite Operator in CALCULATE. Merge the Internal Filter Context and External Filter Context
- (09:45) CALCULATETABLE to change Filter Context with a Boolean Filter
- (11:25) CALCULATE to perform Context Transition
- (13:17) All Measures have a Hidden CALCULATE Function
- (14:20) Boolean Filter is always converted to a FILTER & ALL DAX Function construction
- (17:22) DAX Studio to look at FILTER and ALL Equivalent for a Boolean Filter
- (20:00) VALUES rather than ALL in first argument of FILTER
- (22:05) VALUES Function to bring a Variable into a Formula and use it as a condition for a Boolean Filter
- (24:22) AND Logical Test – 4 Examples
- (26:18) Can NOT use two different columns in a Boolean Filters
- (28:30) OR Logical Test Boolean Formulas
- (30:33) Can NOT Directly Compare Two Columns as a Boolean Filter. Keystone Pricing Examples.
- (33:20) DAX Studio to see how FILTER and ALL delivers a table where we directly compare two columns for a DAX Measure
- (34:00) Can NOT use MIN or MAX or other aggregate functions as a condition for a Boolean Filter
- (34:00) Frequency Distribution DAX Formula. Learn about the COUNTROWS Function
- (43:07) ALL DAX Function & Grand Totals. Learn about the Remove Operator in ALL DAX Function when you use it in the Filter argument of CALCULATE
- (47:42) Look at Data Model for Power BI File for looking more closely at the Overwrite Operator
- (49:00) Overwrite Operation. Second look at the Overwrite Operator in CALCULATE. Merge the Internal Filter Context and External Filter Context into the
- Final Filter Context
- (50:50) Reminder about ALL before we learn about ALLSELECTED. What is the problem that ALLSELECTED can solve?
- (52:35) ALLSELECTED to create Grand Totals that respect the filtering in the PivotTable
- (53:33) Context Transition is how ALLSELECTED gets to the Grand Total Cell Filter Context
- (53:45) Hidden Context Transition for Measures in an Excel PivotTable or Power BI Visual
- (54:45) ALLSELECTED and Context Transition, the Full Story
- (56:17) Visual Example of when ALLSELECTED will not get back to the Filter Context of the Grand Total Cell in the Excel PivotTable or Power BI Visual
- (57:18) Use ALLSELECTED DAX Function in CALCULATE Measures
- (59:05) ALLSELECTED Functions works on Cross Tab Reports too !
- (59:44) Example of Measure in Power BI Visual that uses ALLSELECTED and will not get back to the Filter Context of the Grand Total Cell Power BI Visual
- (01:01:20) Look at new Data Model for next example
- (01:02:20)First example of the KEEPFILTERS DAX Function to force an AND Logical Test rather than an Overwrite Operation
- (01:06:55) What is a Complex Filter? What is a Complex Filter Reduction Error?
- (01:08:56) How KEEPFILTERS can help solve a Complex Filter Reduction Error for Year Column in AVERAGEX.
- (01:14:47) Why KEEPFILTERS is used in the New Quick Measure in Power BI
- (01:16:33) How KEEPFILTERS can help solve a Complex Filter Reduction Error for Year Column and Month Column in CROSSJOIN in AVERAGEX
- (01:18:30) Data Model solution to solve Complex Filter Reduction Error
- (01:20:05) Determine if a filter is a complex filter with CROSSJOIN
- (01:21:17) Expanded Table Concept & Relationships.
- (01:26:50) Table Filters & Expanded Table as filters in the Filter argument of CALCULATE
- (01:27:15) Expanded Table Filter with ALL Function. 2 Examples
- (01:29:15) Table Filter to send a filter backwards across a Many-To-One Relationship. Great Visual for understanding this filter
- (01:33:10) ALLEXCEPT DAX Function with an Expanded Column
- (01:37:00) Examples of Time Intelligence Functions
- (01:37:20) Measure for Revenue from Last Year. SAMPERIODLASTYEAR
- (01:38:40) Measure for Revenue for Last Month. DATEADD and ISFILTERED DAX Functions
- (01:41:32) Compare Excel and DAX Formulas
- (01:43:10) Measure for % Change using IF, BLANK, DIVIDE and HASONEVALUE DAX Functions
- (01:46:15) DAX Formula Evaluation Context Summary
Charles Sterling and Yana Berkovich walk through how to use personal bookmarks in the Power BI Service and general best practices around using bookmarks in Power BI.
If you are not already familiar with personal bookmark, as a report consumer, you will now be able to create your own set of bookmarks for each report by capturing various states of a report page (including filters, slicers, and state of visuals), give them friendly names, and later return to each state with just one click!
Not only that, you will also be able to make any bookmark that you create the default view, so you can land on your favorite view of the report every time you open it.
Patrick LeBlanc looks at how to create a Power BI streaming dataset and use that to create a real-time dashboard. You can easily use something like PowerShell to push data into the Power BI streaming dataset. [Demo files]
Curbal shows you how to unpivot tables with DAX. (whether or not you should do it in DAX may be a different question)
She then unpivots them using Power Query so you can see the difference, and how Power Query can be faster and more efficient for cleaning data.