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Day After Dashboard in a Day/Prerequisites.md

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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.
+    1. Go to http://aka.ms/pbidiadtraining and sign up for Power BI with an organizational email address. If you have an existing account, please use the same URL as above to log in.
+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 download and install Power BI Desktop from one of the options listed below:
+    1. [Microsoft Store](https://aka.ms/pbidesktop)
+        1. [Learn more about the benefits of installing from the Microsoft Store including automatic updates](https://docs.microsoft.com/power-bi/fundamentals/desktop-get-the-desktop#install-as-an-app-from-the-microsoft-store).
+    1. [Download Center](https://www.microsoft.com/en-us/download/details.aspx?id=58494)
+        1. If you have Power BI Desktop installed from Download Center, ensure you have the latest version of downloaded.
+
+# How to setup your own M365 Tenant
+For future learning: Setup a Personal Tenant
+
+# Document Structure
+
+This document and has two main sections:
+1. **Power BI Desktop**: This section highlights the features available in Power BI Desktop and walks the user through the process of bringing in data from the data source, modeling and creating visualizations.
+1. **Power BI service**: This section highlights the features available in the Power BI service including the ability to publish the Power BI Desktop datasets and reports to the web.

Day After Dashboard in a Day/README.md

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+:::image type="icon" source="https://raw.githubusercontent.com/microsoft/pbiworkshops/main/_Asset%20Library/powerbi.svg"::: 
+
+# 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:
+1. How to prepare and load data into a dataflow using Power Query Online.
+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).
+
+### Dataset
+The AdventureWorks sample databases and Analysis Services models were originally published by Microsoft to show how to design a SQL Server database using SQL Server 2008.
+
+The company, VanArsdel, manufactures expensive retail products that can be used for fun as well as work. It sells them directly to consumers nationwide as well as in several other countries.
+
+
+
+## Data Preparation
+
+### Iteration
+
+**Project requirement:** New files are being dropped to a **Web page** which you have been tasked with querying and aggregating. Fortunately, all the files are of the same format, with a consistent column and file naming to make combining the files easier.
+
+1. From the **Home** tab select the drop-down for **Get data** and then **Blank query**.
+:::image type="content" source="./Media/NewBlankQuery.png" alt-text="New 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.
+
+```bash
+let
+  fileNameUpdate = (#"File number" as number) as text =>
+            Text.Combine(
+                {
+                    "FactInternetSales_",
+                    Text.From(#"File number"),
+                    ".csv"
+                }
+            )
+in
+  fileNameUpdate
+```
+3. Update
+
+```bash
+let
+  fileNameUpdate = (#"File number" as number) as text =>
+            Text.Combine(
+                {
+                    "FactInternetSales_",
+                    Text.From(#"File number"),
+                    ".csv"
+                }
+            ),
+  Source = [
+        fileCount = 1,
+        fileName = fileNameUpdate(fileCount),
+        data = fxGetFile(fileName)
+    ]
+in
+  Source
+```
+
+### 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.
+:::image type="content" source="./Media/ImportModel.png" alt-text="Import Model.":::
+
+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.
+:::image type="content" source="./Media/EnhancedComputeEngineSettings.png" alt-text="Enhanced compute engine settings.":::
+
+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.
+
+    :::image type="content" source="./Media/RefreshNow.png" alt-text="Refresh now.":::
+
+[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.
+
+    :::image type="content" source="./Media/ppDataflows.png" alt-text="Power Platform dataflows.":::
+
+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.
+
+    :::image type="content" source="./Media/getDataDataflow.png" alt-text="Get dataflow tables.":::
+
+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.
+
+    :::image type="content" source="./Media/MergeColumns.png" alt-text="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.
+    
+    :::image type="content" source="./Media/MergeColumnsBox.png" alt-text="Merge columns dialogue window.":::
+
+1. In the **Query settings** pane on the right, navigate to the **Merge Columns** step, right click and select the **View Native Query** option.
+
+    :::image type="content" source="./Media/ViewNativeQuery.png" alt-text="View Native Query.":::
+
+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 | | |
+
+:::image type="content" source="./Media/AddConditionalColumn.png" alt-text="View Native Query.":::
+
+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.
+
+:::image type="content" source="./Media/ConditionalQuery.png" alt-text="View Native Query for Conditional Column.":::
+
+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.
+
+:::image type="content" source="./Media/AddStep.png" alt-text="Add Step.":::
+
+```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
+        )
+```
+
+
+
+## Data Modeling
+
+1. Add a **Table** visualization using the following columns:
+
+| Table | Column |
+|:----- | :------ |
+| Customer | EmailAddress|
+| Internet Sales | Sales Amount |
+
+
+
+2.	Navigate to the **View** tab and select **Performance analyzer**.
+:::image type="content" source="./Media/PerformanceAnalyzer.png" alt-text="Performance analyzer.":::
+1. Within the **Performance analyzer** pane, select **Start recording**.
+:::image type="content" source="./Media/StartRecording.png" alt-text="Start recording button.":::
+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
+
+
+## Data Visualization