Split lab into separate sections.
This commit is contained in:
Alex Powers
Родитель
79448cf0e3
Коммит
edf80be0fe
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## Data Modeling
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1. Add a **Table** visualization using the following columns:
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| Table | Column |
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|:----- | :------ |
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| Customer | EmailAddress|
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| Internet Sales | Sales Amount |
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1. Navigate to the **View** tab and select **Performance analyzer**.
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1. Within the **Performance analyzer** pane, select **Start recording**.
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1. Press the Clear option, Refresh visuals and Copy query
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1. Navigate to the Model view, select the Dimension tables, navigate to Advanced and Storage mode to change to Dual
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@ -0,0 +1,306 @@
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## Data Preparation
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**TO DO** - Learning about the Power Query Online environment and dataflows.
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To learn more, see [Premium features of dataflow](https://docs.microsoft.com/power-bi/transform-model/dataflows/dataflows-premium-features)
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### Import a dataflow model into a workspace
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1. Download the sample **model.json** file.
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1. Navigate to a group workspace and select the **Settings** option in the top right. Within the **Settings** navigation pane select the **Premium** tab to ensure that a **Premium** license mode has been enabled from any of the following options below.
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**License mode:**
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- Premium per user
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- Premium per capacity
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- Embedded
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1. Within the top left of the current workspace select **New** and then **Dataflow**.
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1. From the **Start creating your dataflow** screen select the **Import model** option.
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1. Once the import has completed, select **Edit credentials**.
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1. Alternatively you can click the ellipses (...) next to the dataflow and go to **Settings** within the workspace.
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1. Expand the **Data source credentials** section and select **Edit credentials**. Within the **Configure** dialog box set the following values below and select **Sign in** when complete:
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1. Authentication method | **Anonymous**
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1. Privacy level setting for this data source | **Public**
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1. To learn more, see [Power Query privacy level settings](https://docs.microsoft.com/power-bi/admin/desktop-privacy-levels#configure-a-privacy-level)
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1. ☑️ **Skip test connection**
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### Edit a dataflow using Power Query Online
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1. From the workspace, select the ellipses (...) adjacent to the dataflow name and then the **Edit** option.
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1. Within the top right select the **Edit tables** option to navigate into the Power Query Online interface.
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1. Within the Power Query Online editor's **Home** tab, select the **Options** - **Global options** property.
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1. Within the **Global options** window ensure the following settings are enabled.
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**Steps**
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1. Enable step cost indicators
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1. Show script in step callout
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**Column profile**
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1. Enable column profile
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1. Show column value distribution in data preview
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1. Show column value distribution in data preview
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1. Show column profile in details pane
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**Parameters**
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1. Always allow parameterization in data source and transformation dialogs
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1.
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### Generate a list of values
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**Task:** New files are being dropped to a publicly accessible **Web page** which you have been tasked with collecting. All of the files maintain a consistent column - naming, data type - and the file names follow a format of **FactInternetSales_#.csv** to make combining the files easier.
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1. From the **Home** tab select the drop-down for **Get data** and then **Blank query**.
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1. Within the **Advanced editor** window update the current query to the text below - creating a custom function that [combines text](https://docs.microsoft.com/powerquery-m/text-combine) and converts to [text from](https://docs.microsoft.com/powerquery-m/text-from) a value. Select **Ok** when complete.
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```fsharp
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let
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// A function that accept a file number value and concatenates text
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fxFileName = (#"File number" as number) as text =>
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Text.Combine(
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{
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"FactInternetSales_",
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Text.From(#"File number"),
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".csv"
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}
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)
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in
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fxFileName
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```
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2. Open the **Advanced Editor** once again, add a comma to end of the **fXFileName** step and add a new step with the identifier name **Source** which equals a **Record** data type, containing the key values of **fileCount**, **fileName** and **data** and their corresponding values as displayed below and update the return value to **Source** after the text **in**.
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```fsharp
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let
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// A function that accept a file number value and concatenates text
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fxFileName = (#"File number" as number) as text =>
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Text.Combine(
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{
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"FactInternetSales_",
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Text.From(#"File number"),
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".csv"
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}
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),
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Source = [
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fileCount = 1,
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fileName = fxFileName(fileCount),
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data = fxGetFile(fileName)
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]
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in
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Source
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```
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4. Enable the **Query script** view, to view the full script in the center of the window.
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1. To validate the results are updating, change the **fileCount** value to **2** and review the data preview's **fileName** and **data** values.
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1. Return the **fileCount** value to **1** before proceeding.
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5. Within the expanded **Query script** view, add a comma to the end of the **Source** step and add a new step with the identifier name **fileList** and value **List.Generate**, and update the return value to **fileList** after the text **in**.
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```fsharp
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let
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// A function that accept a file number value and concatenates text
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fxFileName = (#"File number" as number) as text =>
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Text.Combine(
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{
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"FactInternetSales_",
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Text.From(#"File number"),
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".csv"
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}
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),
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Source = [
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fileCount = 1,
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fileName = fxFileName(fileCount),
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data = fxGetFile(fileName)
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],
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fileList = List.Generate
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in
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fileList
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```
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6. Update the script
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```fsharp
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let
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// A function that accept a file number value and concatenates text
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fxFileName = (#"File number" as number) as text =>
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Text.Combine(
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{
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"FactInternetSales_",
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Text.From(#"File number"),
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".csv"
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}
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),
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Source = [
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fileCount = 1,
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fileName = fxFileName(fileCount),
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data = fxGetFile(fileName)
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],
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fileList =
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List.Generate(
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() => Source,
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each not Table.IsEmpty([data]),
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each
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[
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fileCount = [fileCount] + 1,
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fileName = fxFileName(fileCount),
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data = fxGetFile(fileName)
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]
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)
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in
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fileList
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```
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5. FactInternetSales - SURROGATE KEYS on Order Date and Ship Date columns.
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### Power Query M function reference
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To view a complete list of function documentation, from the **Home** tab select **Get data** and **Blank query**. Update the **Source** step value to **#shared** and select **Next** to proceed.
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```fsharp
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let
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Source = #shared
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in
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Source
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```
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A record set is returned including the [Power Query M function reference](https://docs.microsoft.com/powerquery-m/power-query-m-function-reference) documentation.
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### Enhanced compute engine
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1. Within the **Enhanced compute engine settings**, select the **On** option and then select the **Apply** button.
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1. After you've received the **Success!** notification, return to the workspace and select the **Refresh now** option of the datalfow for the optimization to take effect.
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[Learn more about DirectQuery with dataflows](https://docs.microsoft.com/power-bi/transform-model/dataflows/dataflows-premium-features#use-directquery-with-dataflows-in-power-bi)
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### Query folding
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1. Within **Power BI Desktop**'s **Home** ribbon select the **Get data** button. Within the **Get dialog** window select the **Power Platform** section and then **Dataflows** connector. Select **Connect** to continue to the **Dataflows** navigator window.
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1. Within the **Navigator** window, navigate to the group Workspace where your dataflow is located and select all of the tables located within the dataflow. Select **Transform Data** when complete to enter the **Power Query Editor** window.
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1. Navigate to the **DimCustomer** table, holding the **shift** key select the **FirstName**, **MiddleName** and **LastName** columns, right click one of the selected columns and choose the **Merge Columns** option.
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1. Within the **Merge columns** window change the **Separator** option to **Space**, set the **New column name (optional)** option to **Full Name** and select **OK** when complete.
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1. In the **Query settings** pane on the right, navigate to the **Merge Columns** step, right click and select the **View Native Query** option.
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1. Navigate to the **Add Column** tab and select the **Conditional Column** option. Within the **Add Conditional Column** dialog complete the following and select **OK** when complete:
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1. New column name: **Gender**
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1. Match the following conditions to the table below.
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1. Use the **Add Clause** to add new conditions.
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| | Column Name | Operator | Value | Output |
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| :------- | :-------| :-------| :-------| :-------|
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| If | Title | equals | Mr. | Male |
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| If | Title | equals | Sr. | Male |
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| If | Title | equals | Ms. | Female |
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| If | Title | equals | Sra. | Female |
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| else | Unknown | | |
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1. In the **Query settings** pane on the right, navigate to the **Add Conditional Column** step, right click and select the **View Native Query** option.
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1. From the **Formula bar** select the **Add Step** button and paste in the following formula below.
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1. If the **Formula Bar** is not enabled navigate to the **View** tab and select the **Formula Bar** checkbox.
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```fsharp
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= Table.AddColumn(
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#"Merged Columns",
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"Gender",
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each
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if
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List.Contains(
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{
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"Mr.",
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"Sr."
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},
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[Gender]
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)
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then
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"Male"
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else if
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List.Contains(
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{
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"Ms.",
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"Sra."
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},
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[Gender]
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)
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then
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"Female"
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else
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"Not Provided",
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type text
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)
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```
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1. In the **Query settings** pane on the right, navigate to the **Custom1** step, right click and select the **View Native Query** option to review.
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1. Right click the **Applied Steps** step named **Custom1** and select **Properties...** to open the **Step Properties** dialog box. Once the **Step Properties** is visible update the **Name** property to **Custom: Gender** and the **Description** field to the below text. Once complete select **OK** to complete.
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```bash
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If value is Mr. or Sr. replace with Male.
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If value is Ms. or Sra. replace with Female.
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Otherwise replace with Not Provided.
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```
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1. Review the new **Custom: Gender** step's properties by hovering above the step name to view the documentation.
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1. Right click the original **Added Conditional Column** step and select the **Delete** option to remove.
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1. Selecting the adjacent **X** to the left of the step name is also an option.
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## Next steps:
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We hope this tour has shown how the data preparation capabilities in Power BI can provide...
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|
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- Continue to the [Data Modeling](.DataModeling.md) tutorial
|
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- Or return to the [Day After Dashboard in a Day](./README.md) homepage
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|
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@ -0,0 +1 @@
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## Data Visualization
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После Ширина: | Высота: | Размер: 14 KiB |
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После Ширина: | Высота: | Размер: 15 KiB |
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После Ширина: | Высота: | Размер: 15 KiB |
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После Ширина: | Высота: | Размер: 61 KiB |
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@ -1,5 +1,5 @@
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# Prerequisites
|
||||
|
||||
The following prerequisites and setup must be done for successful completion of the lab:
|
||||
1. You must be connected to the internet.
|
||||
1. You must be signed up for a Power BI account.
|
||||
|
|
@ -7,7 +7,7 @@ The following prerequisites and setup must be done for successful completion of
|
|||
1. You must have a Power BI Premium backed workspace, thru one of the following methods.
|
||||
1. Dedicated capacity licensing (P,EM or A)
|
||||
1. User based capacity license (Premium Per User).
|
||||
1. You must [verify minimum system requirements](https://docs.microsoft.com/power-bi/fundamentals/desktop-get-the-desktop#minimum-requirements) are met Power BI Desktop.
|
||||
1. You must [verify minimum system requirements](https://docs.microsoft.com/power-bi/fundamentals/desktop-get-the-desktop#minimum-requirements) are met for Power BI Desktop.
|
||||
|
||||
1. You must download and install Power BI Desktop from one of the options listed below:
|
||||
1. [Microsoft Store](https://aka.ms/pbidesktop)
|
||||
|
|
@ -18,6 +18,11 @@ The following prerequisites and setup must be done for successful completion of
|
|||
# How to setup your own M365 Tenant
|
||||
For future learning: Setup a Personal Tenant
|
||||
|
||||
#### Sample data
|
||||
The AdventureWorks sample database is published by Microsoft to show how to design a SQL Server databases and Analysis Services models.
|
||||
|
||||
To learn more, see [AdventureWorks sample databases](https://docs.microsoft.com/sql/samples/adventureworks-install-configure?view=sql-server-ver15&tabs=ssms).
|
||||
|
||||
# Document Structure
|
||||
|
||||
This document and has two main sections:
|
||||
|
|
|
|||
|
|
@ -1,325 +1,47 @@
|
|||
|
||||
</br>
|
||||
</br>
|
||||
|
||||
# Day After Dashboard in a Day
|
||||
|
||||
|
||||
## Introduction
|
||||
In the Day After Dashboard in a Day you will learn about various concepts and features of Power BI. This course assumes that you have a working knowledge of report authoring using Power BI Desktop and content sharing via the Power BI service.
|
||||
|
||||
By the end of this lab, you will have learned:
|
||||
#### Prerequisites
|
||||
The content in this lab requires access to a **Power BI Premium** workspace within the Power BI service.
|
||||
- Premium Per User
|
||||
- or a Premium capacity subscription
|
||||
|
||||
For additional system requirements, see [prerequisites for the lab](./Prerequisites.md)
|
||||
|
||||
## Data Preparation
|
||||
|
||||
In this lab you'll learn about how to shape data using the Power Query.
|
||||
|
||||
1. How to prepare and load data into a dataflow using Power Query Online.
|
||||
1. How to write custom functions using the Power Query M formula language.
|
||||
1. How to ensure Query folding is occurring.
|
||||
|
||||
To start the tutorial, visit [Data Preparation](./DataPreparation.md)
|
||||
|
||||
## Data Modeling
|
||||
|
||||
In this tutorial you'll learn about...
|
||||
|
||||
1. How to configure different [Storage Modes](https://docs.microsoft.com/power-bi/transform-model/desktop-storage-mode) and create [Aggregations](https://docs.microsoft.com/power-bi/transform-model/aggregations-advanced) using Power BI Desktop.
|
||||
|
||||
Storage modes:
|
||||
1. [DirectQuery](https://docs.microsoft.com/power-bi/connect-data/desktop-directquery-about)
|
||||
1. [Mixed](https://docs.microsoft.com/power-bi/transform-model/desktop-composite-models)
|
||||
1. How to analyze the performance and optimize a Power BI dataset.
|
||||
1. How to design effective reports
|
||||
|
||||
[Learn more about the prerequisites for the lab](./Prerequisites.md).
|
||||
|
||||
#### Sample data
|
||||
The AdventureWorks sample database is published by Microsoft to show how to design a SQL Server databases and Analysis Services models.
|
||||
|
||||
To learn more, see [AdventureWorks sample databases](https://docs.microsoft.com/sql/samples/adventureworks-install-configure?view=sql-server-ver15&tabs=ssms).
|
||||
|
||||
#### Important note
|
||||
The content for this lab must be in a **Power BI Premium** (Premium Per User or a Premium capacity subscription) workspace.
|
||||
|
||||
## Data Preparation
|
||||
|
||||
To learn more, see [Premium features of dataflow](https://docs.microsoft.com/power-bi/transform-model/dataflows/dataflows-premium-features)
|
||||
|
||||
### Import a dataflow model into a workspace
|
||||
|
||||
| Instruction | |
|
||||
| :---- | ---: |
|
||||
| 1. Download the sample model.json file. | |
|
||||
| 2. Navigate to a group workspace and select the **Settings** option in the top right. Within the navigation pane select the **Premium** tab to ensure that a **Premium** license mode has been enabled from any of the following options below.|<details><summary>VIEW SCREENSHOT</summary></details>|
|
||||
| **License mode:**
|
||||
- Premium per user
|
||||
- Premium per capacity
|
||||
- Embedded
|
||||
|
||||
| | |
|
||||
|:--- | ---: |
|
||||
| 3. Within the workspace select **New** and then **Dataflow**.| <details><summary>VIEW SCREENSHOT</summary>  </details>|
|
||||
| 4. From the Start creating your dataflow screen, select the **Import model** option. **New** and then **Dataflow**. | <details><summary>VIEW SCREENSHOT</summary>  </details>|
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
### Generate a list of values
|
||||
|
||||
**Task:** New files are being dropped to a publicly accessible **Web page** which you have been tasked with collecting. All of the files maintain a consistent column - naming, data type - and the file names follow a format of **FactInternetSales_#.csv** to make combining the files easier.
|
||||
|
||||
1. From the **Home** tab select the drop-down for **Get data** and then **Blank query**.
|
||||
|
||||
|
||||
|
||||
1. Within the **Advanced editor** window update the current query to the text below - creating a custom function that [combines text](https://docs.microsoft.com/powerquery-m/text-combine) and converts to [text from](https://docs.microsoft.com/powerquery-m/text-from) a value. Select **Ok** when complete.
|
||||
|
||||
```fsharp
|
||||
let
|
||||
// A function that accept a file number value and concatenates text
|
||||
fxFileName = (#"File number" as number) as text =>
|
||||
Text.Combine(
|
||||
{
|
||||
"FactInternetSales_",
|
||||
Text.From(#"File number"),
|
||||
".csv"
|
||||
}
|
||||
)
|
||||
in
|
||||
fxFileName
|
||||
```
|
||||
2. Open the **Advanced Editor** once again, add a comma to end of the **fXFileName** step and add a new step with the identifier name **Source** which equals a **Record** data type, containing the key values of **fileCount**, **fileName** and **data** and their corresponding values as displayed below and update the return value to **Source** after the text **in**.
|
||||
|
||||
```fsharp
|
||||
let
|
||||
// A function that accept a file number value and concatenates text
|
||||
fxFileName = (#"File number" as number) as text =>
|
||||
Text.Combine(
|
||||
{
|
||||
"FactInternetSales_",
|
||||
Text.From(#"File number"),
|
||||
".csv"
|
||||
}
|
||||
),
|
||||
Source = [
|
||||
fileCount = 1,
|
||||
fileName = fxFileName(fileCount),
|
||||
data = fxGetFile(fileName)
|
||||
]
|
||||
in
|
||||
Source
|
||||
```
|
||||
|
||||
4. Enable the **Query script** view, to view the full script in the center of the window.
|
||||
1. To validate the results are updating, change the **fileCount** value to **2** and review the data preview's **fileName** and **data** values.
|
||||
1. Return the **fileCount** value to **1** before proceeding.
|
||||
|
||||
|
||||
|
||||
5. Within the expanded **Query script** view, add a comma to the end of the **Source** step and add a new step with the identifier name **fileList** and value **List.Generate**, and update the return value to **fileList** after the text **in**.
|
||||
|
||||
```fsharp
|
||||
let
|
||||
// A function that accept a file number value and concatenates text
|
||||
fxFileName = (#"File number" as number) as text =>
|
||||
Text.Combine(
|
||||
{
|
||||
"FactInternetSales_",
|
||||
Text.From(#"File number"),
|
||||
".csv"
|
||||
}
|
||||
),
|
||||
Source = [
|
||||
fileCount = 1,
|
||||
fileName = fxFileName(fileCount),
|
||||
data = fxGetFile(fileName)
|
||||
],
|
||||
fileList = List.Generate
|
||||
in
|
||||
fileList
|
||||
```
|
||||
|
||||
6. Update the script
|
||||
|
||||
```fsharp
|
||||
let
|
||||
// A function that accept a file number value and concatenates text
|
||||
fxFileName = (#"File number" as number) as text =>
|
||||
Text.Combine(
|
||||
{
|
||||
"FactInternetSales_",
|
||||
Text.From(#"File number"),
|
||||
".csv"
|
||||
}
|
||||
),
|
||||
Source = [
|
||||
fileCount = 1,
|
||||
fileName = fxFileName(fileCount),
|
||||
data = fxGetFile(fileName)
|
||||
],
|
||||
fileList =
|
||||
List.Generate(
|
||||
() => Source,
|
||||
each not Table.IsEmpty([data]),
|
||||
each
|
||||
[
|
||||
fileCount = [fileCount] + 1,
|
||||
fileName = fxFileName(fileCount),
|
||||
data = fxGetFile(fileName)
|
||||
]
|
||||
)
|
||||
in
|
||||
fileList
|
||||
```
|
||||
|
||||
5. FactInternetSales - SURROGATE KEYS on Order Date and Ship Date columns.
|
||||
|
||||
### Power Query M function reference
|
||||
|
||||
To view a complete list of function documentation, from the **Home** tab select **Get data** and **Blank query**. You can update the **Source** step value to **#shared** and select **Next** to proceed.
|
||||
|
||||
```bash
|
||||
let
|
||||
Source = #shared
|
||||
in
|
||||
Source
|
||||
```
|
||||
A record set is returned including the [Power Query M function reference](https://docs.microsoft.com/powerquery-m/power-query-m-function-reference) documentation.
|
||||
|
||||
### Data profile
|
||||
|
||||
|
||||
### Dataflow manifest
|
||||
|
||||
|
||||
|
||||
### Import dataflow model and enable DirectQuery with dataflows
|
||||
|
||||
1. Download the model.json file to a local file.
|
||||
|
||||
1. Select the **Import model** option.
|
||||
|
||||
|
||||
|
||||
1. Select the SAMPLE.json from your local drive and then
|
||||
|
||||
1. Within the **Enhanced compute engine settings**, select the **On** option and then select the **Apply** button.
|
||||
|
||||
|
||||
|
||||
1. After you've received the **Success!** notification, return to the workspace and select the **Refresh now** option of the datalfow for the optimization to take effect.
|
||||
|
||||
|
||||
|
||||
[Learn more about DirectQuery with dataflows](https://docs.microsoft.com/power-bi/transform-model/dataflows/dataflows-premium-features#use-directquery-with-dataflows-in-power-bi)
|
||||
|
||||
### Query folding
|
||||
|
||||
1. Within **Power BI Desktop**'s **Home** ribbon select the **Get data** button. Within the **Get dialog** window select the **Power Platform** section and then **Dataflows** connector. Select **Connect** to continue to the **Dataflows** navigator window.
|
||||
|
||||
|
||||
|
||||
1. Within the **Navigator** window, navigate to the group Workspace where your dataflow is located and select all of the tables located within the dataflow. Select **Transform Data** when complete to enter the **Power Query Editor** window.
|
||||
|
||||
|
||||
|
||||
1. Navigate to the **DimCustomer** table, holding the **shift** key select the **FirstName**, **MiddleName** and **LastName** columns, right click one of the selected columns and choose the **Merge Columns** option.
|
||||
|
||||
|
||||
|
||||
1. Within the **Merge columns** window change the **Separator** option to **Space**, set the **New column name (optional)** option to **Full Name** and select **OK** when complete.
|
||||
|
||||
|
||||
|
||||
1. In the **Query settings** pane on the right, navigate to the **Merge Columns** step, right click and select the **View Native Query** option.
|
||||
|
||||
|
||||
|
||||
1. Navigate to the **Add Column** tab and select the **Conditional Column** option. Within the **Add Conditional Column** dialog complete the following and select **OK** when complete:
|
||||
1. New column name: **Gender**
|
||||
1. Match the following conditions to the table below.
|
||||
1. Use the **Add Clause** to add new conditions.
|
||||
|
||||
| | Column Name | Operator | Value | Output |
|
||||
| :------- | :-------| :-------| :-------| :-------|
|
||||
| If | Title | equals | Mr. | Male |
|
||||
| If | Title | equals | Sr. | Male |
|
||||
| If | Title | equals | Ms. | Female |
|
||||
| If | Title | equals | Sra. | Female |
|
||||
| else | Unknown | | |
|
||||
|
||||
|
||||
|
||||
1. In the **Query settings** pane on the right, navigate to the **Add Conditional Column** step, right click and select the **View Native Query** option.
|
||||
|
||||
|
||||
|
||||
1. From the **Formula bar** select the **Add Step** button and paste in the following formula below.
|
||||
1. If the **Formula Bar** is not enabled navigate to the **View** tab and select the **Formula Bar** checkbox.
|
||||
|
||||
|
||||
|
||||
```bash
|
||||
= Table.AddColumn(
|
||||
#"Merged Columns",
|
||||
"Gender",
|
||||
each
|
||||
if
|
||||
List.Contains(
|
||||
{
|
||||
"Mr.",
|
||||
"Sr."
|
||||
},
|
||||
[Gender]
|
||||
)
|
||||
then
|
||||
"Male"
|
||||
else if
|
||||
List.Contains(
|
||||
{
|
||||
"Ms.",
|
||||
"Sra."
|
||||
},
|
||||
[Gender]
|
||||
)
|
||||
then
|
||||
"Female"
|
||||
else
|
||||
"Not Provided",
|
||||
type text
|
||||
)
|
||||
```
|
||||
|
||||
1. In the **Query settings** pane on the right, navigate to the **Custom1** step, right click and select the **View Native Query** option to review.
|
||||
|
||||
1. Right click the **Applied Steps** step named **Custom1** and select **Properties...** to open the **Step Properties** dialog box. Once the **Step Properties** is visible update the **Name** property to **Custom: Gender** and the **Description** field to the below text. Once complete select **OK** to complete.
|
||||
|
||||
```bash
|
||||
If value is Mr. or Sr. replace with Male.
|
||||
If value is Ms. or Sra. replace with Female.
|
||||
Otherwise replace with Not Provided.
|
||||
```
|
||||
|
||||
|
||||
|
||||
1. Review the new **Custom: Gender** step's properties by hovering above the step name to view the documentation.
|
||||
|
||||
|
||||
|
||||
1. Right click the original **Added Conditional Column** step and select the **Delete** option to remove.
|
||||
1. Selecting the adjacent **X** to the left of the step name is also an option.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
## Data Modeling
|
||||
|
||||
1. Add a **Table** visualization using the following columns:
|
||||
|
||||
| Table | Column |
|
||||
|:----- | :------ |
|
||||
| Customer | EmailAddress|
|
||||
| Internet Sales | Sales Amount |
|
||||
|
||||
|
||||
|
||||
1. Navigate to the **View** tab and select **Performance analyzer**.
|
||||
|
||||
|
||||
|
||||
1. Within the **Performance analyzer** pane, select **Start recording**.
|
||||
|
||||
|
||||
1. Press the Clear option, Refresh visuals and Copy query
|
||||
1. Navigate to the Model view, select the Dimension tables, navigate to Advanced and Storage mode to change to Dual
|
||||
|
||||
To start the lab, visit [Data Modeling](./DataModeling.md)
|
||||
|
||||
## Data Visualization
|
||||
|
||||
In this tutorial you'll learn about...
|
||||
|
||||
- Something
|
||||
- Something
|
||||
|
||||
To start the tutorial, visit [Data Visualization](./DataVisualization.md)
|
||||
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