Download PDF Practical PowerPivot & DAX Formulas for Excel 2010

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Say the colour "Red" is selected in the combob I need to analyze said data to determine first all values above 35 then I need to look for two Remember Me? Results 1 to 4 of 4. Thread Tools Show Printable Version. Does anyone know if I have an old version of these sample files or am I missing something banging head against wall!

Please help! Hello and welcome to The Board. I had exactly the same problem a couple of years ago. I did not get past Chapter 4 with the FIRST book because there were some sample files either missing or not provided, making it difficult to follow along with the text. The other book was different.

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  • Practical PowerPivot & DAX Formulas for Excel 2010 by Art Tennick.
  • Practical Powerpivot & Dax Formulas for Excel by Art Tennick.
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There are 15 small sample files mainly giving some of the SQL but the big advantage is that the book uses the Microsoft Northwind database and the text is therefore very easy to follow. The pre-Access the better version of Northwind can be downloaded online and you can even download an Excel version of Northwind for use if you do not have Access installed. The book also covers SQL Server. However, this book is probably not for the Excel beginner and you need to persevere when reading some of it.

Learn Excel 2010 - "DAX Calculate": Podcast #1529

Because some paragraphs may cover SQL Server, Access and Excel you will need to sometimes decide what you want to 'skip'. Never give way to anger - otherwise in one day you could burn up the wood that you collected in many bitter weeks. Thanks Derek Moreover, my experience has shown that, even in environments where traditional solutions including everything from ETL mechanisms, underlying star-schema data sources, Analysis Services cubes, and the languages required to support all these components are desired, PowerPivot can be used effectively to make the design, development and testing of the ultimate solution more efficient and reliable.

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The DAX functions are intuitive, in large part, for those that work routinely with existing Excel functions, and enable knowledgeable users to rapidly extract and present the information needed to support enterprise decision makers in a timely, reliable manner. In working with columns and tables even very large ones in relational data sources, we can enjoy high-speed lookups and calculations via an in-memory engine that DAX is designed to leverage in an optimal manner. As a means of achieving our objective, we will gain hands-on exposure to using PowerPivot in general, while becoming familiar with the DAX language, using formulas we construct from the DAX functions we introduce within the levels of this Stairways series.

For each function we introduce, we will discuss what it is designed to produce and its operation in doing so, the syntax with which it is employed, and the data that it retrieves and presents. Try them out. To get the most out of the series, you need to have installed either or bit Excel , matched with the respective version of PowerPivot for Excel PowerPivot for Excel is, at this writing, a free add-in that is available for download at www.

You will also need the appropriate access rights to the sample data sources provided for SQL Server R2. It is also assumed that the computer s involved meet the system requirements, including hardware and operating systems, of the applications I have mentioned. Because both the relational databases and the Analysis Services samples for R2 differ somewhat from those of previous releases a good example of this is that the Analysis Services date dimension, as well as the supporting relational data, has been advanced into later operating years of the Adventure Works organization , the sample formula syntax that we construct together will, when executed, deliver results which may differ between R2 data sources and those of the previous releases.

Additional Note : The screen captures in this series, unless otherwise noted, are made from a Windows 7 or Windows Server R2 environment, so what you see on your own machine may differ, somewhat, if you are working within another environment. To install PowerPivot , simply perform the steps as outlined at the download site www.

SQL Server and R2 each provide a virtually identical single Setup program from which you can install any or all of its components, including Analysis Services. It is important, however, to understand that Analysis Services relies upon other components of SQL Server : for example, the Adventure Works cube which resides within the Adventure Works DW R2 Analysis Services database , uses the AdventureWorksDWR2 relational data mart in SQL Server as its data source, so, if we want to process the Analysis Services database and its cube we cannot query an unprocessed cube , we will need to have access to its underlying relational data source and, therefore, to SQL Server and the associated sample database.

Practical PowerPivot & DAX Formulas for Excel 2010 by Art Tennick (Paperback, 2010)

There are many possible considerations in the installation of Analysis Services , depending upon the version s you intend to install, the hardware in your local environment, applications you may already have in place, and so forth. Rather than trying to reproduce them all in this article, we provide the following link, which covers this subject thoroughly, yet efficiently. Considerations for Installing Analysis Services. Once you have determined the components you need to install, you can follow step-by-step instructions on how to start Setup , and to select the components you want to install, by following this link:.

Once you have successfully installed Analysis Services along with any other components you have chosen from the Setup program , you are ready to download and install the samples that we will be working with in this series. A great summary of the options that are available based upon your SQL Server version and other considerations can be found at:. Opening PowerPivot by taking the steps below will put us in position to begin working with DAX formulas. An open PowerPivot window, the point at which we will be at the end of this section, will become the beginning point of each of the levels of this series.

Workbooks and Database from the Book - PowerPivotPro

The PowerPivot window, containing its own ribbon, opens atop the existing Excel spreadsheet. We can tell to which workbook the window is linked because it assumes the name of the workbook as part of its own name, as depicted below. It is in the PowerPivot window that we load and prepare the data with which we will be working or will continue working, with data already added to the workbook. We will typically build a relational model here. PowerPivot begins a scan of the machine to detect, and return to the selector, the available server choices.

The Table Import Wizard dialog, with our input, appears similar to that depicted below. The Select Tables and Views dialog appears, as partially shown, with our selection and related tables checked. The idea in these immediate steps is to import enough information into our model to allow us to do some illustrative analysis surrounding the business activities conducted by our hypothetical client, the Adventure Works organization.

The Table Import Wizard is dismissed, and we arrive at the PowerPivot window once again, where we see the imported data as partially depicted. Note that a tab for each imported table has been created in the PowerPivot window the tabs appear in the bottom left of the window as seen above. What we are now seeing is not an Excel table, but a view of the efficiently compressed columnar database that PowerPivot uses to store imported tables in memory. The central pane contains the data and looks very similar to — but is not - an Excel table inside a worksheet.

Keep in mind that PowerPivot tables and Excel tables are completely different objects: PowerPivot uses far less memory than the Excel tables with which we have become familiar, due to its superior data compression capability.

Getting Started with PowerPivot

The database generated by PowerPivot saves space and supports highly efficient querying. We learned within the introduction to this level that PowerPivot for Excel offers the DAX language as a means for extending our capabilities with PowerPivot. We will use the ProductAlternateKey for this purpose, as the ProductKey in the table is a surrogate key, and not the actual product identifier.

This simple concatenation will serve as a great starting point in our introduction to DAX formulas and expressions. The Formula bar fx is activated, upon selection of the column. We can use simple column names in the above syntax because the columns reside in the same table as our calculated column. The affected area of the DimProduct tab of the PowerPivot window appears, with our new addition, as shown.

Our new calculated column, containing the new combined Product label, is named CalculatedColumn1 by default. These operators include those shown in Table 1. We will then be ready to examine our first function.

Practical Powerpivot And Dax Formulas For Excel 2010

We can exploit DAX formulas to create either calculated columns or measures. We define calculated columns in the PowerPivot window, as we discovered in our last section. The difference in where calculated columns and calculated measures are created is important to understand. We will create calculated columns via the Add button later.

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The PowerPivot Field List for any pre-existing pivot tables will notify us of changes in the underlying PowerPivot window, enabling a Refresh button we can use to update both the field list and the pivot table. Either action launches the Measure Settings dialog, as we shall see, into whose Formula text box we can input a desired DAX formula. We will get plenty of hands-on exposure to creating measures, as well as opportunities to learn about the importance of measure context, as we move through the levels of our series.

A single value related to the current row is returned. RELATED requires that a relationship is in place between the current table from which we are using the function and the table with the related data. RELATED performs a lookup, therefore, based upon the relationship in place, and examines all the values within the table we specify ignoring any filters we have put in place, if applicable.

A relationship must exist, of course, for the function to work.