How to Export More than 150K Rows in Power BI

Are you struggling to export large datasets from Power BI? Look no further, as this article will provide you with a simple solution to export more than 150k rows in just a few clicks. Say goodbye to manual exports and hello to seamless data transfer – this could be a game-changer for your time and efficiency management.

What Is Power BI?

Power BI, introduced by Microsoft in 2010, is a business analytics tool that offers interactive visualizations and business intelligence capabilities. It allows users to connect to various data sources, transform and model the data, and create insightful reports and dashboards. Widely used in organizations, Power BI helps analyze data, make data-driven decisions, and share insights with others. It offers features such as data exploration, data preparation, data visualization, and collaboration, making it a valuable tool for gaining insights from data. With its user-friendly interface and continuous development, Power BI has become one of the leading analytics and visualization tools in the market, used by millions of users worldwide.

Why Is Exporting Data Important in Power BI?

Exporting data is essential in Power BI as it allows users to extract and analyze large volumes of information outside of the platform. This function serves several critical purposes:

1. Firstly, exporting data enables users to share insights with colleagues who may not have access to Power BI.
2. Additionally, it allows for further analysis using other tools or software.
3. Moreover, exporting data provides a backup of the information, ensuring data security.
4. Lastly, it facilitates compliance with data regulations by allowing organizations to store data in their preferred systems.

Fun fact: Exporting data in Power BI can be done in various formats, including CSV, Excel, and PDF.

How to Export Data in Power BI?

Exporting data from Power BI is a crucial task for many analysts and business professionals. However, it can be challenging when dealing with large datasets, especially when the default export limit is set at 150,000 rows. In this section, we will explore different methods for exporting data in Power BI, including using the export button, the copy and paste method, the export data option, and the Power Query Editor. Each method has its own unique advantages and limitations, and we will discuss how to best utilize them for your specific data export needs.

1. Using the Export Button

Exporting data in Power BI using the export button is a simple process that allows users to save their visualizations and data in various file formats.

1. To begin, open the Power BI report or dashboard that contains the data you want to export.
2. Next, click on the “Export” button located at the top right corner of the screen.
3. From the options provided, choose the desired file format, such as Excel, CSV, or PDF.
4. Then, select the location where you want to save the exported file.
5. Finally, click “Save” to export the data.

By following these simple steps, you can easily export your data from Power BI for further analysis or sharing with others.

2. Using the Copy and Paste Method

Copying and pasting data in Power BI is a simple process that allows you to quickly export data. Here are the steps to use the copy and paste method:

1. Select the data you want to export in Power BI.
2. Right-click and choose the “Copy” option or use the shortcut Ctrl+C.
3. Open the destination application, such as Excel or Word.
4. Create a new document or open an existing one.
5. Paste the copied data using right-click and “Paste” or the shortcut Ctrl+V.
6. The data will be pasted into the application, ready for use.

Copying and pasting, as a method of data transfer, has been an integral part of computing since its introduction by computer scientist Larry Tesler in the 1970s. This simple and efficient method revolutionized the way data is moved between applications, providing users with a seamless way to transfer information with just a few clicks. Today, copying and pasting is a fundamental feature in almost every software application, including Power BI.

3. Using the Export Data Option

To export data in Power BI using the Export Data option, follow these steps:

1. Select the visual or table that contains the data you want to export.
2. In the top right corner of the visual or table, click on the ellipsis (…) to open the options menu.
3. From the menu, choose the “Export data” option.
4. Power BI will prompt you to save the data as a .csv file.
5. Choose the desired location on your computer and click “Save”.
6. The data will be exported and saved as a .csv file, which can be opened in Excel or any other spreadsheet program.

4. Using the Power Query Editor

Using the Power Query Editor in Power BI provides a powerful tool for data transformation and manipulation. Here are the steps to effectively use the Power Query Editor:

1. Open Power BI and load your data into the query editor.
2. Apply any necessary transformations to clean and refine your data.
3. Utilize the available functions and features to manipulate your data, such as splitting columns, merging tables, or removing duplicates.
4. Organize your data by applying filters and sorting.
5. Validate and preview your transformations to ensure accuracy.
6. Click “Close & Apply” to load the transformed data into Power BI for analysis and visualization.

To fully utilize the Power Query Editor, explore its advanced features like M language, custom functions, and conditional logic. Additionally, take advantage of online resources and communities for valuable tips, tricks, and best practices.

Remember, mastering the Power Query Editor can greatly enhance your data preparation and analysis capabilities in Power BI.

What Are the Limitations of Exporting Data in Power BI?

While Power BI is a powerful tool for data analysis and visualization, there are limitations when it comes to exporting large amounts of data. In this section, we will discuss the various limitations of exporting data in Power BI, including the maximum rows, file size, columns, and data sources allowed. Understanding these limitations will help you effectively plan and manage your data exports in Power BI.

1. Maximum Rows Limit

To handle the maximum rows limit in Power BI, you can follow these steps:

1. Filter the data: Apply filters to exclude unnecessary rows and reduce the overall data size.
2. Aggregate the data: Instead of exporting raw data, consider summarizing it by grouping and calculating aggregate values.
3. Use pagination: Export data in smaller chunks by setting a limit on the number of rows per export.
4. Utilize data partitioning: Divide the data into multiple partitions based on a specific criterion, such as date ranges, and export each partition separately.

2. Maximum File Size Limit

Exporting data in Power BI is crucial for various reasons, such as sharing data with others or performing further analysis. However, it’s important to be aware of the maximum file size limit to ensure a smooth exporting process.

1. To check the size of your data file, go to the “File” menu and select “Options and settings” > “Options” > “Current File” > “Data Load”.
2. If your data file exceeds the maximum file size limit, consider the following suggestions:
• Reduce the size of your data by removing unnecessary columns or cleaning up the data.
• Split your data into multiple files and export them separately.
• Upgrade to Power BI Premium, which offers higher file size limits.
• Utilize Power BI Dataflows to store and access large volumes of data.

By being mindful of the maximum file size limit and implementing these suggestions, you can effectively export data in Power BI without any issues.

3. Maximum Number of Columns Limit

In Power BI, there is a limit to the number of columns you can have in your dataset. This maximum number of columns limit can have an impact on data modeling and analysis. To work around this limitation, follow these steps:

1. Identify the columns that are crucial for your analysis.
2. Consider removing any unnecessary or redundant columns.
3. Aggregate or summarize data to reduce the number of columns.
4. Utilize calculated columns or measures to derive new information from existing columns.

By carefully managing your columns, you can optimize the use of the maximum number of columns limit in Power BI.

4. Maximum Number of Data Sources Limit

The limit of maximum number of data sources in Power BI is a crucial factor to consider when using the tool. To effectively manage this limitation, follow these steps:

1. Determine the number of data sources necessary for your Power BI project.
2. Prioritize connecting the most important data sources first.
3. If the maximum limit is reached, consider consolidating multiple data sources into one if possible.
4. Explore other options, such as using data integration platforms or data preparation tools, to combine data sources.
5. Regularly review and optimize your data sources by removing any redundant or unnecessary connections.

By following these steps, you can efficiently manage the maximum number of data sources limit in Power BI and ensure seamless data integration and analysis.

How to Export More Than 150k Rows in Power BI?

Are you struggling to export large datasets from Power BI? Look no further, as we explore various methods to export more than 150k rows of data in Power BI. From splitting the data into multiple files to utilizing premium features and external tools, we’ll cover all the options available to help you export your data efficiently. Let’s dive in and find the best solution for your specific needs.

1. Splitting the Data into Multiple Files

Splitting the data into multiple files is a helpful technique when exporting more than 150k rows in Power BI. Follow these steps to do so:

1. First, determine the total number of rows in your dataset.
2. Next, consider Power BI’s limitations and determine the maximum number of rows that can be exported in a single file.
3. Divide the total number of rows by the maximum number of rows allowed per file to calculate the number of files needed.
4. Create a separate file for each section of data.
5. Export each file individually, and be sure to use a clear naming convention for easy identification.
6. Once exported, you can combine the separate files using your preferred data manipulation tool.

2. Using Power BI Premium

By utilizing Power BI Premium, users gain access to enhanced capabilities for exporting data beyond the limitations of the standard Power BI service. Follow these steps to export data using Power BI Premium:

1. Ensure that you have a Power BI Premium subscription.
2. Open the desired report or dashboard in Power BI.
3. Click on the “Export” button located in the toolbar.
4. Choose the preferred file format for exporting the data.
5. Select the destination folder where the exported file will be saved.
6. Click “Export” to initiate the data export process.
7. Wait for the export to complete, and then access the exported data file.

3. Using Power BI Dataflows

Using Power BI Dataflows can be a useful way to export data in Power BI. Follow these steps to get started:

1. Create a Dataflow in Power BI by going to the Power BI service and selecting “Workspace” from the menu on the left-hand side.
2. Select “Create” and then choose “Dataflow.” Provide a name and description for your Dataflow.
3. Choose the data source from which you want to export data. Power BI Dataflows support various data sources.
4. Transform and shape your data using the Power Query Editor.
5. Save and publish your Dataflow.
6. To export the data, go to the Power BI service and navigate to the workspace where the Dataflow is located.
7. Select “Export data” from the ellipsis menu next to the Dataflow name.
8. Choose the export options, such as file format and destination.
9. Click “Export” to begin the export process.

Did you know? Power BI Dataflows allow you to create reusable data transformations that can be easily applied to multiple reports and dashboards.

4. Using External Tools

Using external tools in Power BI can greatly enhance your data exporting capabilities. Follow these steps to utilize external tools:

1. Install and open your preferred external tool, such as Tabular Editor or DAX Studio.
2. Connect the external tool to your Power BI desktop or service.
3. Access the desired data within the external tool’s interface.
4. Utilize the tool’s export functionality to save the data in your desired format, such as CSV or Excel.

Previously, Power BI had limitations when it came to exporting large amounts of data. However, with the introduction of external tools, users now have more flexibility and control over their data exports, making it easier to work with and analyze data outside of the Power BI environment.