Tag: Power BI Report Builder

Leveraging ChatGPT to Generate RDL Output for Paginated Report Files

Introduction

Report Definition Language (RDL) is an XML language that provides a robust, standardized format for defining reports. It’s commonly utilized in conjunction with SQL Server Reporting Services (SSRS), which allows you to create, deploy, and manage reports for your organization.

This blog post is aimed at guiding you on how to leverage the power of ChatGPT, a state-of-the-art AI developed by OpenAI, to assist in generating XML output for RDL files. The beauty of this approach is that the AI can generate the necessary XML code based on your inputs, which you can then copy and paste into an .rdl file, creating a functional report almost instantaneously.

Step-by-Step Guide to Create an RDL File with ChatGPT Assistance

Step 1: Defining the Objective of Your Report

Start by clearly stating the goal of your report. This will help ChatGPT understand the type of data that needs to be included and how it should be structured.

User: I need to create a report that shows the sales revenue by product category for the current year.

ChatGPT: Sure, for such a report you would need access to sales data including product details, sale dates, and revenue. Do you have a database where this information is stored?

Step 2: Defining the Data Source

Once you’ve clarified the objective of your report, the next step is defining the data source. This includes providing the type of database you’re using, server name, database name, and the necessary authentication details.

User: The data is stored in a SQL Server database named 'SalesDB' on the server 'Server01'. The authentication method is SQL Server Authentication.

ChatGPT: Great! Let's create the DataSource XML for your RDL file.

At this point, ChatGPT will generate the necessary DataSource XML.

ChatGPT:
```xml
<DataSources>
    <DataSource Name="SalesDB">
        <ConnectionProperties>
            <DataProvider>SQL</DataProvider>
            <ConnectString>Data Source=Server01;Initial Catalog=SalesDB;User ID=your_username;Password=your_password;</ConnectString>
        </ConnectionProperties>
    </DataSource>
</DataSources>

Step 3: Defining the Dataset

The Dataset comprises the SQL query that retrieves the desired data from the database.

```chat
User: The necessary data can be retrieved with the following SQL query: 'SELECT ProductCategory, SUM(Revenue) as TotalRevenue FROM Sales WHERE YEAR(SaleDate) = YEAR(GETDATE()) GROUP BY ProductCategory'.

ChatGPT: Great, let's use that query to define the Dataset in your RDL file.

ChatGPT then generates the corresponding Dataset XML.

ChatGPT:
```xml
<Datasets>
    <Dataset Name="SalesData">
        <Query>
            <DataSourceName>SalesDB</DataSourceName>
            <CommandText>
            <![CDATA[SELECT ProductCategory, SUM(Revenue) as TotalRevenue FROM Sales WHERE YEAR(SaleDate) = YEAR(GETDATE()) GROUP BY ProductCategory]]>
            </CommandText>
        </Query>
        <Fields>
            <Field Name="ProductCategory">
                <DataField>ProductCategory</DataField>
                <rd:TypeName>System.String</rd:TypeName>
            </Field>
            <Field Name="TotalRevenue">
                <DataField>TotalRevenue</DataField>
                <rd:TypeName>System.Decimal</rd:TypeName>
            </Field>
        </Fields>
    </Dataset>
</Datasets>

Step 4: Defining the Report Layout

The report layout defines how the retrieved data should be presented in the report. This typically involves specifying items such as tables, matrices, or charts.

```chat
User: I want to present the data in a simple table with two columns: one for the Product Category and one for the Total Revenue.

ChatGPT: Alright. Let's create the report layout XML for your table.

ChatGPT then generates the report layout XML based on your requirements.

ChatGPT:
```xml
<ReportItems>
    <Tablix Name="SalesTablix">
        <TablixBody>
            <TablixColumns>
                <TablixColumn>
                    <Width>3in</Width>
                </TablixColumn>
                <TablixColumn>
                    <Width>2in</Width>
                </TablixColumn>
            </TablixColumns>
            <TablixRows>
                <TablixRow>
                    <Height>0.25in</Height>
                    <TablixCells>
                        <TablixCell>
                            <CellContents>
                                <Textbox Name="ProductCategoryHeader">
                                    <Paragraphs>
                                        <Paragraph>
                                            <TextRuns>
                                                <TextRun>
                                                    <Value>Product Category</Value>
                                                </TextRun>
                                            </TextRuns>
                                        </Paragraph>
                                    </Paragraphs>
                                </Textbox>
                            </CellContents>
                        </TablixCell>
                        <TablixCell>
                            <CellContents>
                                <Textbox Name="TotalRevenueHeader">
                                    <Paragraphs>
                                        <Paragraph>
                                            <TextRuns>
                                                <TextRun>
                                                    <Value>Total Revenue</Value>
                                                </TextRun>
                                            </TextRuns>
                                        </Paragraph>
                                    </Paragraphs>
                                </Textbox>
                            </CellContents>
                        </TablixCell>
                    </TablixCells>
                </TablixRow>
                <TablixRow>
                    <Height>0.25in</Height>
                    <TablixCells>
                        <TablixCell>
                            <CellContents>
                                <Textbox Name="ProductCategory">
                                    <Paragraphs>
                                        <Paragraph>
                                            <TextRuns>
                                                <TextRun>
                                                    <Value>=Fields!ProductCategory.Value</Value>
                                                </TextRun>
                                            </TextRuns>
                                        </Paragraph>
                                    </Paragraphs>
                                </Textbox>
                            </CellContents>
                        </TablixCell>
                        <TablixCell>
                            <CellContents>
                                <Textbox Name="TotalRevenue">
                                    <Paragraphs>
                                        <Paragraph>
                                            <TextRuns>
                                                <TextRun>
                                                    <Value>=Fields!TotalRevenue.Value</Value>
                                                </TextRun>
                                            </TextRuns>
                                        </Paragraph>
                                    </Paragraphs>
                                </Textbox>
                            </CellContents>
                        </TablixCell>
                    </TablixCells>
                </TablixRow>
            </TablixRows>
        </TablixBody>
        <TablixColumnHierarchy>
            <TablixMembers>
                <TablixMember />
                <TablixMember />
            </TablixMembers>
        </TablixColumnHierarchy>
        <TablixRowHierarchy>
            <TablixMembers>
                <TablixMember />
                <TablixMember />
            </TablixMembers>
        </TablixRowHierarchy>
        <DataSetName>SalesData</DataSetName>
    </Tablix>
</ReportItems>

Step 5: Assembling the Full RDL File

At this point, you have all the necessary XML for your RDL file. You can put these pieces together into a full RDL file, ensuring that you include the necessary boilerplate XML for an RDL file. Don’t forget to adjust connection string information for your data source, where necessary.

Here it is as an example:

<?xml version="1.0" encoding="utf-8"?>
<Report xmlns="http://schemas.microsoft.com/sqlserver/reporting/2010/01/reportdefinition" xmlns:rd="http://schemas.microsoft.com/SQLServer/reporting/reportdesigner">
    <DataSources>
        <DataSource Name="SalesDB">
            <ConnectionProperties>
                <DataProvider>SQL</DataProvider>
                <ConnectString>Data Source=Server01;Initial Catalog=SalesDB;User ID=your_username;Password=your_password;</ConnectString>
            </ConnectionProperties>
        </DataSource>
    </DataSources>
    <DataSets>
        <DataSet Name="SalesData">
            <Query>
                <DataSourceName>SalesDB</DataSourceName>
                <CommandText>
                <![CDATA[SELECT ProductCategory, SUM(Revenue) as TotalRevenue FROM Sales WHERE YEAR(SaleDate) = YEAR(GETDATE()) GROUP BY ProductCategory]]>
                </CommandText>
            </Query>
            <Fields>
                <Field Name="ProductCategory">
                    <DataField>ProductCategory</DataField>
                    <rd:TypeName>System.String</rd:TypeName>
                </Field>
                <Field Name="TotalRevenue">
                    <DataField>TotalRevenue</DataField>
                    <rd:TypeName>System.Decimal</rd:TypeName>
                </Field>
            </Fields>
        </DataSet>
    </DataSets>
    <ReportSections>
        <ReportSection>
            <Body>
                <ReportItems>
                    <Tablix Name="SalesTablix">
                        <TablixBody>
                            <TablixColumns>
                                <TablixColumn>
                                    <Width>3in</Width>
                                </TablixColumn>
                                <TablixColumn>
                                    <Width>2in</Width>
                                </TablixColumn>
                            </TablixColumns>
                            <TablixRows>
                                <TablixRow>
                                    <Height>0.25in</Height>
                                    <TablixCells>
                                        <TablixCell>
                                            <CellContents>
                                                <Textbox Name="ProductCategoryHeader">
                                                    <Paragraphs>
                                                        <Paragraph>
                                                            <TextRuns>
                                                                <TextRun>
                                                                    <Value>Product Category</Value>
                                                                </TextRun>
                                                            </TextRuns>
                                                        </Paragraph>
                                                    </Paragraphs>
                                                </Textbox>
                                            </CellContents>
                                        </TablixCell>
                                        <TablixCell>
                                            <CellContents>
                                                <Textbox Name="TotalRevenueHeader">
                                                    <Paragraphs>
                                                        <Paragraph>
                                                            <TextRuns>
                                                                <TextRun>
                                                                    <Value>Total Revenue</Value>
                                                                </TextRun>
                                                            </TextRuns>
                                                        </Paragraph>
                                                    </Paragraphs>
                                                </Textbox>
                                            </CellContents>
                                        </TablixCell>
                                    </TablixCells>
                                </TablixRow>
                                <TablixRow>
                                    <Height>0.25in</Height>
                                    <TablixCells>
                                        <TablixCell>
                                            <CellContents>
                                                <Textbox Name="ProductCategory">
                                                    <Paragraphs>
                                                        <Paragraph>
                                                            <TextRuns>
                                                                <TextRun>
                                                                    <Value>=Fields!ProductCategory.Value</Value>
                                                                </TextRun>
                                                            </TextRuns>
                                                        </Paragraph>
                                                    </Paragraphs>
                                                </Textbox>
                                            </CellContents>
                                        </TablixCell>
                                        <TablixCell>
                                            <CellContents>
                                                <Textbox Name="TotalRevenue">
                                                    <Paragraphs>
                                                        <Paragraph>
                                                            <TextRuns>
                                                                <TextRun>
                                                                    <Value>=Fields!TotalRevenue.Value</Value>
                                                                </TextRun>
                                                            </TextRuns>
                                                        </Paragraph>
                                                    </Paragraphs>
                                                </Textbox>
                                            </CellContents>
                                        </TablixCell>
                                    </TablixCells>
                                </TablixRow>
                            </TablixRows>
                        </TablixBody>
                        <TablixColumnHierarchy>
                            <TablixMembers>
                                <TablixMember />
                                <TablixMember />
                            </TablixMembers>
                        </TablixColumnHierarchy>
                        <TablixRowHierarchy>
                            <TablixMembers>
                                <TablixMember />
                                <TablixMember />
                            </TablixMembers>
                        </TablixRowHierarchy>
                        <DataSetName>SalesData</DataSetName>
                    </Tablix>
                </ReportItems>
            </Body>
        </ReportSection>
    </ReportSections>
</Report>

The example provided here should be fully functional, but there are some considerations to keep in mind:

  1. Database Schema: The SQL query included in the report depends on your database schema. The given example assumes that there’s a table called ‘Sales’ with the columns ‘ProductCategory’, ‘Revenue’, and ‘SaleDate’. Make sure that your database contains this table and these columns or adjust the SQL query to match your actual database schema.
  2. Authentication: The example uses SQL Server Authentication for simplicity, but you might be using a different authentication method, such as Windows Authentication or Azure Active Directory. Make sure to adjust the connection string to match your actual authentication method.
  3. Report Design: The example includes a very basic report design that outputs a simple table. In a real-world scenario, your report might require additional elements, such as a header, footer, grouping, sorting, filtering, images, subreports, etc. RDL is very flexible and allows you to create complex report designs.
  4. Data Types: The provided XML assumes that ‘ProductCategory’ is a string and ‘TotalRevenue’ is a decimal. If your actual data types are different, make sure to adjust the <rd:TypeName> elements accordingly.
  5. Data Source Security: The provided example includes the username and password in the connection string for simplicity, but this isn’t secure. In a real-world scenario, you should consider more secure methods to store and retrieve your credentials, such as storing them in the Reporting Services Configuration Manager or using Integrated Security.
  6. Error Handling: While this isn’t strictly necessary for the RDL file to be functional, it’s a good idea to implement error handling in your reports, such as displaying a meaningful message if the SQL query returns no data.

As long as your report’s requirements align with what’s defined in this XML, you should be able to generate a functional report by replacing the placeholders with your actual values. However, this is a basic example and real-world reports can get much more complex. For more advanced features, you might need to manually edit the RDL file or use a tool like SQL Server Data Tools or Report Builder, which provide a GUI for designing reports.

Conclusion

Leveraging AI models like ChatGPT to generate RDL file content allows you to quickly and accurately create complex reports. By providing your specifications to the AI, you can obtain a ready-to-use XML output for your RDL file, reducing the time spent on manual coding and minimizing the potential for human error. Happy reporting!

This blogpost was created with help from ChatGPT Pro.

How to Create Professional-Looking Invoices using Power BI Paginated Reports

In this blog post, we will explore how to create professional-looking invoices using Power BI Paginated Reports. We’ll start with an overview of Paginated Reports, then dive into creating a custom invoice design, and finally discuss how to publish and share these invoices.

  1. Preparing Data for Invoices

To create an invoice, we first need to prepare the underlying data. This includes data about customers, products, and transactions. You can import data from various sources, such as Excel files, SQL databases, or other data sources supported by Power BI. Once you have imported the data, you can create relationships and perform data cleaning and transformations as necessary.

  1. Designing the Invoice Layout in Report Builder

To start designing the invoice, open the Report Builder tool and create a new Paginated Report. The Report Builder interface consists of a design surface, a report data pane, and a properties pane. Begin by organizing your report data in the report data pane.

  • 2.1. Add a Header

To create a header for your invoice, click on the ‘Insert’ tab, and select ‘Header’ from the dropdown menu. In the header, you can include elements such as your company logo, address, and contact information. To add an image, use the ‘Image’ tool from the ‘Insert’ tab and position it in the header.

  • 2.2. Add a Title

Add a text box from the ‘Insert’ tab to include the invoice title (e.g., ‘Invoice’). Customize the text’s font, size, and alignment as needed.

  • 2.3. Customer Information

Add a table or a series of text boxes to display the customer’s name, address, contact information, and invoice number. You can use expressions to bind the text boxes to the appropriate data fields in your dataset.

  • 2.4. Invoice Line Items

Insert a table from the ‘Insert’ tab to display the invoice line items. Bind the table to your invoice data source and configure the columns to display the product name, quantity, unit price, and line item total. Apply formatting and styling to match the overall design of the invoice.

  • 2.5. Summary and Footer

Add a summary section to display the subtotal, taxes, and total amount due. You can use expressions to calculate these values based on the line items in the invoice. Finally, add a footer to include any additional information, such as payment terms or a thank you message.

  1. Publishing and Sharing Invoices

Once you’ve finished designing the invoice, save the report and publish it to Power BI Report Server or Power BI Premium. To generate individual invoices for your customers, create a parameterized report, allowing you to filter the data for a specific customer or invoice number. Share the published invoices with your customers by providing them with a link or exporting the invoices as PDFs, Word documents, or Excel files.

Conclusion

Power BI Paginated Reports offer a flexible and powerful solution for creating professional-looking invoices. By leveraging the Report Builder tool, users can create custom invoice designs that meet their specific

This blogpost was created with help from ChatGPT Pro.

Unveiling the Hidden Gems: Lesser-Known Features of Paginated Reports in Power BI and SSRS

Introduction

Paginated reports, commonly referred to as “pixel-perfect” reports, are an essential tool for creating data-rich, highly customizable, and print-ready reports. While many users are familiar with the basic features of paginated reports in Power BI and SQL Server Reporting Services (SSRS), there are several lesser-known capabilities that can enhance the overall reporting experience. In this blog post, we’ll explore some of these hidden gems and explain how they can add value to your paginated reports.

  1. Document Map

The Document Map feature allows you to create a navigable outline or table of contents for your paginated report, making it easier for users to quickly jump between different sections or categories within the report. By adding a Document Map, you can provide a more organized and user-friendly reporting experience, especially for lengthy and complex reports.

  1. Interactive Sorting

Interactive Sorting enables users to sort data in a table or matrix directly within the report by clicking on column headers. This powerful feature provides users with more control and flexibility to explore and analyze the data according to their needs. To enable interactive sorting, simply set the “InteractiveSort” property of the table or matrix column header textbox.

  1. Custom Code and Expressions

Paginated reports support custom code and expressions, allowing you to create complex calculations, data transformations, or conditional formatting rules that might not be achievable with built-in functions. You can use Visual Basic.NET (VB.NET) to write custom code within the report, and then reference the custom functions in your report expressions.

  1. Fixed Headers and Footers

When dealing with long tables or matrices that span multiple pages, it can be helpful to keep the headers and footers visible as users scroll or navigate through the report. To achieve this, simply set the “FixedData” property of the table or matrix header row to “True.” This ensures that the headers and footers remain in place, providing users with essential context as they explore the data.

  1. Data-Driven Subscriptions

Data-driven subscriptions enable you to automate the delivery of paginated reports based on dynamic, data-driven criteria. This feature, available only in SSRS, allows you to configure report delivery based on data stored in an external data source, such as a database table or a query result. Data-driven subscriptions can be used to deliver personalized reports to users or to schedule report delivery based on specific conditions or events.

  1. Custom Pagination

By default, paginated reports use automatic pagination to determine the number of pages and the layout of report items. However, you can also take full control over the pagination process by using custom pagination. This allows you to specify the exact number of rows or columns to display per page and to control the placement of report items across multiple pages.

Conclusion

While many users are familiar with the basic features of paginated reports in Power BI and SSRS, exploring lesser-known capabilities can provide a more powerful, flexible, and user-friendly reporting experience. By leveraging features such as Document Maps, Interactive Sorting, Custom Code and Expressions, Fixed Headers and Footers, Data-Driven Subscriptions, and Custom Pagination, you can create truly dynamic and interactive reports that cater to a wide range of user needs and preferences.

This blogpost was created with help from ChatGPT Pro.

Integrating OpenAI with Power BI Paginated Reports using Azure Functions

Introduction: Power BI Paginated Reports are ideal for creating highly formatted, pixel-perfect layouts optimized for printing or PDF generation. By integrating OpenAI with Power BI Paginated Reports using Azure Functions, you can enhance your reports with AI-generated insights and content. This blog post provides a step-by-step guide on how to integrate OpenAI with Power BI Paginated Reports using Azure Functions and an intermediary SQL Server database.

Prerequisites:

  • An OpenAI API key
  • An Azure account
  • Power BI Report Builder
  • Basic knowledge of Power BI Paginated Reports, Azure Functions, and C#

Step 1: Create a SQL Server database

  1. Set up a SQL Server database or use an existing one.
  2. Create a new table to store the AI-generated content:
CREATE TABLE OpenAI_Responses (
    ID INT PRIMARY KEY IDENTITY(1,1),
    Prompt NVARCHAR(MAX),
    GeneratedText NVARCHAR(MAX),
    DateGenerated DATETIME
);

Step 2: Create an Azure Function to call the OpenAI API and store the AI-generated content in the SQL Server database

  1. Set up an Azure Function App with an HTTP trigger and follow the instructions to create a new function.
  2. Add the necessary NuGet packages to call the OpenAI API (e.g., OpenAI) and connect to SQL Server (e.g., System.Data.SqlClient).
  3. Modify the Azure Function code to call the OpenAI API, and insert the AI-generated content into the SQL Server table.
using System.Data.SqlClient;
using System.IO;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.WebJobs;
using Microsoft.Azure.WebJobs.Extensions.Http;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.Logging;
using Newtonsoft.Json;
using OpenAI;

public static class OpenAIIntegrationFunction
{
    [FunctionName("OpenAIIntegrationFunction")]
    public static async Task<IActionResult> Run(
        [HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
        ILogger log)
    {
        log.LogInformation("C# HTTP trigger function processed a request.");

        // Get the 'prompt' parameter from the query string
        string prompt = req.Query["prompt"];

        // Use OpenAI API Key
        string openaiApiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY");

        // Initialize the OpenAI API client
        var apiClient = new OpenAIApiClient(apiKey: openaiApiKey);

        // Set up the completion request
        var completions = await apiClient.Completions.CreateAsync(
            engine: "text-davinci-002",
            new CompletionRequest
            {
                Prompt = prompt,
                MaxTokens = 50,
                N = 1,
                Stop = null,
                Temperature = 0.7,
            }
        );

        string generated_text = completions.Choices[0].Text.Trim();

        // Replace with your SQL Server connection string
        string connectionString = "your_sql_server_connection_string";

        using (SqlConnection connection = new SqlConnection(connectionString))
        {
            connection.Open();
            using (SqlCommand command = new SqlCommand("INSERT INTO OpenAI_Responses (Prompt, GeneratedText, DateGenerated) VALUES (@Prompt, @GeneratedText, @DateGenerated)", connection))
            {
                command.Parameters.AddWithValue("@Prompt", prompt);
                command.Parameters.AddWithValue("@GeneratedText", generated_text);
                command.Parameters.AddWithValue("@DateGenerated", DateTime.UtcNow);

                await command.ExecuteNonQueryAsync();
            }
        }

        return new OkObjectResult("Data saved to the database.");
    }
}

Copy and paste this code into your Azure Function App. Replace the your_sql_server_connection_string placeholder with your actual SQL Server connection string. This code assumes you have already set up an OpenAI API key as an environment variable within your Azure Function App.

  1. Save the function and test it to ensure it inserts the AI-generated content into the SQL Server table.

Step 3: Create a Power BI Paginated Report

  1. Open Power BI Report Builder.
  2. Create a new report or open an existing one.
  3. Add a new “Parameter” to the report:
    • In the “Report Data” pane, right-click “Parameters” and click “Add Parameter.”
    • Name the parameter “Prompt.”
    • Set the data type to “Text.”
    • Provide a default value or leave it blank.
  4. Add a “Textbox” to the report and set its value to the “Prompt” parameter: =Parameters!Prompt.Value

Step 4: Connect the Power BI Paginated Report to the SQL Server database

  1. In the “Report Data” pane, right-click “Data Sources” and click “Add Data Source.”
  2. Choose “Microsoft SQL Server” as the connection type and provide a name for the data source.
  3. In the “Connection string” field, enter your SQL Server connection string.
  4. Click “OK” to add the data source.
  5. In the “Report Data” pane, right-click “Datasets” and click “Add Dataset.”
  6. Choose the SQL Server data source you just created and click “Query Designer.”
  7. In the “Query Designer,” enter a SQL query to fetch the latest AI-generated content for the given prompt:
SELECT TOP 1 GeneratedText
FROM OpenAI_Responses
WHERE Prompt = @Prompt
ORDER BY DateGenerated DESC

8. Add the “Prompt” parameter to the query by clicking

“Add Parameter” in the “Query Designer.” 9. Close the “Query Designer” and click “OK” to add the dataset.

  1. Add a “Textbox” to the report and set its value to the AI-generated text: =First(Fields!GeneratedText.Value, "Dataset1")

Conclusion: You now have a Power BI Paginated Report that displays AI-generated content based on the prompt parameter. When the report is run, it will retrieve the latest AI-generated content for the given prompt from the SQL Server database and display it in the report. To update the AI-generated content in the SQL Server database, you can manually call the Azure Function with the specified prompt, or you can create a separate application to automate this process. The Azure Function will then call the OpenAI API, generate the text, and insert it into the SQL Server table.

This approach allows you to leverage the Power BI Paginated Report’s native support for SQL Server as a data source while still incorporating AI-generated content from the OpenAI API. It involves additional steps and requires an intermediary database, but it provides a viable solution for integrating OpenAI with Power BI Paginated Reports

This blogpost was created with help from ChatGPT Pro and Paginated Report Bear.

Mastering Expressions and Functions in Power BI Paginated Reports: Unleash Your Reporting Potential

Power BI Paginated Reports are a powerful tool in every data analyst’s arsenal. These versatile, high-quality reports allow for a seamless presentation of large amounts of data in a consistent and easy-to-read format. In this blog post, we will dive into the fascinating world of expressions and functions in Power BI Paginated Reports, showcasing their capabilities and providing you with a step-by-step guide to help you make the most of your reporting experience.

Section 1: Understanding Expressions and Functions

1.1 What are Expressions?

In Power BI Paginated Reports, expressions are used to define the content and appearance of report items, data regions, and groups. They are written in Report Definition Language (RDL) and allow you to perform various calculations, conditional formatting, and data manipulation tasks.

1.2 What are Functions?

Functions are pre-built pieces of code that can be used within expressions to perform specific tasks, such as mathematical operations, string manipulation, date and time calculations, and more. Power BI Paginated Reports offers a rich set of built-in functions, making it easier for you to create dynamic, data-driven reports.

Section 2: How to Use Expressions in Power BI Paginated Reports

2.1 Creating Basic Expressions

To create an expression, you’ll need to use the Expression Editor. Follow these steps:

  1. In the Report Builder, select the textbox or other report item you want to add the expression to.
  2. In the Properties pane, locate the property you want to set with an expression, then click the drop-down arrow and select <Expression…>.
  3. In the Expression Editor, type or build your expression using the available functions and operators.
  4. Click OK to save the expression.

2.2 Examples of Common Expressions

Here are some examples of expressions you might use in your Power BI Paginated Reports:

  • Concatenating strings: =Fields!FirstName.Value & " " & Fields!LastName.Value
  • Calculating the sum of a field: =Sum(Fields!Sales.Value)
  • Applying conditional formatting based on a value: =IIf(Fields!Revenue.Value > 10000, "Green", "Red")

Section 3: Working with Functions in Power BI Paginated Reports

3.1 Accessing Built-In Functions

To access built-in functions, follow these steps:

  1. Open the Expression Editor (as explained in Section 2.1).
  2. In the left pane of the Expression Editor, you’ll see a list of categories, such as Common Functions, Text, DateTime, and more. Click on a category to display the available functions.
  3. Double-click a function to add it to your expression.

3.2 Examples of Functions in Expressions

Here are some examples of functions used in expressions:

  • Calculating the average of a field: =Avg(Fields!Sales.Value)
  • Formatting a date: =Format(Fields!OrderDate.Value, "MM/dd/yyyy")
  • Counting the number of items in a dataset: =CountRows()

Expressions and functions in Power BI Paginated Reports provide endless possibilities to create dynamic, data-driven reports that are both visually appealing and informative. By mastering these techniques, you will enhance your reporting capabilities and stand out as a data analyst. Now it’s time to put these skills to the test and create stunning, insightful reports with Power BI Paginated Reports!

This blogpost was created with help from ChatGPT Pro.

Harnessing the Power of Azure Synapse Spark and Power BI Paginated Reports: A Comprehensive Walkthrough

In today’s data-driven world, organizations seek to harness the vast potential of their data by combining powerful technologies. Azure Synapse Spark, a scalable data processing engine, and Power BI Paginated Reports, a robust report creation tool, are two such technologies that, when combined, can elevate your analytics capabilities to new heights.

In this blog post, we’ll walk you through the process of integrating Azure Synapse Spark with Power BI Paginated Reports, enabling you to create insightful, flexible, and high-performance reports using big data processing.

Prerequisites

Before we begin, ensure you have the following set up:

  1. An Azure Synapse Workspace with an Apache Spark pool.
  2. Power BI Report Builder installed on your local machine.
  3. A Power BI Pro or Premium subscription.

Step 1: Prepare Your Data in Azure Synapse Spark

First, you’ll need to prepare your data using Azure Synapse Spark. This involves processing, cleaning, and transforming your data so that it’s ready for use in Power BI Paginated Reports.

1.1. Create a new Notebook in your Synapse Workspace, and use PySpark, Scala, or Spark SQL to read and process your data. This could involve filtering, aggregating, and joining data from multiple sources.

1.2. Once your data is processed, write it to a destination table in your Synapse Workspace. Ensure that you save the data in a format compatible with Power BI, such as Parquet or Delta Lake.

Step 2: Connect Power BI Paginated Reports to Azure Synapse Analytics

With your data prepared, it’s time to connect Power BI Paginated Reports to your Azure Synapse Analytics.

2.1. Launch Power BI Report Builder and create a new paginated report.

2.2. In the “Report Data” window, right-click on “Data Sources” and click “Add Data Source.” Select “Microsoft Azure Synapse Analytics” as the data source type.

2.3. Enter your Synapse Analytics server name (your Synapse Workspace URL) and database name, then choose the appropriate authentication method. Test your connection to ensure it’s working correctly.

Step 3: Create a Dataset in Power BI Report Builder

Now that you’re connected to your Synapse Workspace, you’ll need to create a dataset in Power BI Report Builder to access the data you prepared earlier.

3.1. In the “Report Data” window, right-click on “Datasets” and select “Add Dataset.”

3.2. Choose the data source you created earlier, then write a query to retrieve the data from your destination table in Synapse Workspace. You can use either SQL or the Synapse SQL provisioned pool for this task. Test the query to ensure it retrieves the data correctly.

Step 4: Design Your Power BI Paginated Report

With your dataset ready, you can start designing your Power BI Paginated Report.

4.1. Drag and drop the appropriate data regions, such as tables, matrices, or lists, onto the report canvas.

4.2. Map the dataset fields to the data region cells to display the data in your report.

4.3. Customize the appearance of your report by applying styles, formatting, and conditional formatting as needed.

4.4. Set up headers, footers, and pagination options to ensure your report is well-organized and professional.

Step 5: Test, Export, and Share Your Report

The final step in the process is to test, export, and share your Power BI Paginated Report.

5.1. Use the “Preview” tab in Power BI Report Builder to test your report and ensure it displays the data correctly

5.2. If you encounter any issues, return to the design view and make any necessary adjustments.

5.3. Once you’re satisfied with your report, save it as a .rdl file.

5.4. To share your report, publish it to the Power BI Service. Open the Power BI Service in your browser, navigate to your desired workspace, click on “Upload,” and select “Browse.”

5.5. Upload the .rdl file you saved earlier, and wait for the publishing process to complete.

5.6. After your report is published, you can share it with your colleagues, either by granting them access to the report in the Power BI Service or by exporting it to various formats, such as PDF, Excel, or Word.

Conclusion

By combining the processing power of Azure Synapse Spark with the flexible reporting capabilities of Power BI Paginated Reports, you can create insightful, performant, and visually appealing reports that leverage big data processing. The walkthrough provided in this blog post offers a step-by-step guide to help you successfully integrate these two powerful tools and unlock their full potential. As you continue to explore the possibilities offered by Azure Synapse Spark and Power BI Paginated Reports, you’ll undoubtedly uncover new ways to drive your organization’s data-driven decision-making to new heights.

This blogpost was created with help from ChatGPT Pro.

Mastering Paginated Reports in Power BI: Tips and Tricks for Success

Power BI is a powerful tool that enables users to create interactive reports and visualizations to facilitate data-driven decision making. One of the key features of Power BI is the ability to create paginated reports. These reports, also known as ‘pixel-perfect’ or ‘SQL Server Reporting Services (SSRS) reports,’ provide a high level of control over report layout and formatting, making them perfect for generating invoices, official documents, or detailed data tables that need to span multiple pages.

In this blog post, we’ll explore several tips and tricks that will help you create professional and efficient paginated reports in Power BI.

  1. Plan your report layout

Before diving into Power BI, take a moment to plan your report layout. Consider the information you need to display and how it should be presented. This will ensure a more efficient design process and will help you avoid making unnecessary changes later on.

  1. Use Power BI Report Builder

To create paginated reports, you’ll need to use Power BI Report Builder. This standalone desktop application is specifically designed for creating paginated reports and provides a familiar SSRS environment. You can download the Power BI Report Builder from the Power BI website.

  1. Set up data sources and datasets

Once you’ve opened Power BI Report Builder, you’ll need to set up data sources and datasets. To do this, go to the “Report Data” window, right-click “Data Sources,” and click “Add Data Source.” After connecting to your data source, create a dataset by right-clicking “Datasets” and selecting “Add Dataset.” This process will allow you to access the data in your report.

  1. Use tables, matrices, and lists wisely

Paginated reports offer a variety of data regions, including tables, matrices, and lists. Each data region has its own unique capabilities:

  • Tables: Use tables for displaying data in a simple row and column format.
  • Matrices: Use matrices to show aggregate data, especially when you need to display row and column groupings.
  • Lists: Use lists to create free-form reports with varying data layouts.

Choose the appropriate data region based on your report’s requirements to ensure an efficient and organized layout.

  1. Leverage expressions for dynamic content

Expressions are a powerful way to create dynamic content in your paginated reports. You can use expressions to:

  • Concatenate fields
  • Format dates and numbers
  • Calculate totals and averages
  • Implement conditional formatting

Learn the basics of expression syntax and familiarize yourself with the available functions to unlock the full potential of your paginated reports.

  1. Utilize headers and footers

Headers and footers are essential for adding context and professionalism to your reports. Use them to display important information such as page numbers, report titles, and company logos. Headers and footers can also contain dynamic content using expressions, making them even more versatile.

  1. Manage page breaks and pagination

Controlling page breaks and pagination is crucial for ensuring a clean and well-organized report. Use the “Page Break” property in the properties window to control the placement of page breaks within your report. Additionally, you can use the “PrintOnFirstPage” and “PrintOnLastPage” properties to control the visibility of report items on the first and last pages.

  1. Preview and test your report

Always preview and test your report to ensure that it meets your requirements and displays correctly. This will help you identify any issues or discrepancies early in the design process, saving you time and effort in the long run.

Conclusion

Creating paginated reports in Power BI can be a rewarding experience when armed with the right knowledge and tools. By following the tips and tricks outlined in this blog post, you’ll be well on your way to mastering paginated reports and creating professional, efficient, and visually appealing documents. Remember to plan your layout, use the appropriate data regions, leverage expressions, and test your report thoroughly. By doing so, you’ll not only impress your colleagues and clients with your Power BI skills but also make data-driven decision-making more accessible and efficient for your organization. So, go ahead and unlock the full potential of Power BI paginated reports, and take your reporting capabilities to the next level!

This blogpost was generated by ChatGPT Pro as an experiment to see the level of quality it would generate.

Use a Conditional Preview Image in Paginated Reports subscriptions in Power BI

Recently in Power BI, a new feature was added for Paginated Reports e-mail subscriptions where you could optionally add a preview image in the body of your e-mail message.  By default, this is the first page of your report.  However, it doesn’t have to be.  For example, in my e-mail subscription, I see the following preview image –

image  

But when I view the report in the PDF attachment or in the web, I see the following report links as my first page –

image

How is this possible?

Well, one of the cool things you can do with Paginated Reports is set the visibility of items in your report to be conditional.  You do this by adding an expression that sets the condition for when it should be shown or hidden.  Since the preview image in your e-mail subscription uses the “IMAGE” output format, all I did was set the visibility of an item to be conditional based on that.  So I took all of the items you see in that preview image and added them to a tablix, then made that conditionally visible based on the following expression –
=ucase(Globals!RenderFormat.Name) <> “IMAGE”   

Now, the report renderer knows to hide that part of the report whenever the renderer is something other than the “IMAGE” output format.  I’ve attached the sample report below so you can try this out yourself.  You can test this in the Power BI service (if you have Premium) by setting up a new e-mail subscription with it, or in Power BI Report Builder by exporting it to a TIFF file.

Download Sample Report

Thanks for reading!