The data imported by Power Query will be saved in the Azure SQL Database; You can build a model using the. All features of Power Query Editor and Power BI are available. Right now I have the fact table in Direct Query and the visuals' performance is. I’ve worked with several customers. Power BI Get Data: Import vs. Check the datamodel and the storage mode of each table involved (ie: fact table, calendar, customer, etc). Compared to Direct Query mode, Import relatively queries data faster because the data of the data source will be import into the model of the pbix file. I have prepared a report with my fact table in directquery mode. Write the new transactions in the Sales table, grouping the rows in a single POST rows call every 30 seconds. With MDX Fusion, the most common MDX query patterns can now trigger far fewer SE queries where. The data model supports the entire visualization experience. Let’s look at the main differences between the two: Import: The data is imported into Power BI Desktop. Group by and summarize. Hello everyone! I am still trying to get a working Direct Query with PowerBI. Several performance optimizations in the query engine aimed at reducing the number of data source queries per DAX or MDX query, known as DAX Fusion and MDX Fusion, significantly improved. Snowflake also took Power BI’s Horizontal Fusion feature for a spin using sample data available in every Snowflake account. The enhanced compute engine in Power BI enables Power BI Premium subscribers to use their capacity to optimize the use of dataflows. February 3, 2022 When connecting to data in Power BI, you need to choose whether you want to use Import or Direct Query mode for connecting to your data. Live Connection Mode: Power BI. Click Load. The import allows me to have all my dataset in memory, so it can easily respond to a high demand. Import: I can transform within Power Query and have my transformations be turned into native query (Query Folding). Pros and cons for using Import vs DirectQuery storage mode when designing a Power BI, SQL Server Analysis Service Tabular or Azure Analysis Services data model. In Server, enter the server name where your data is located. This endpoint enables a better relationship discovery in the Power BI dataset model. Hello, I am currently trying to improve a data model's performance that uses direct query, due the need of having near real-time data. Direct Query. The strange thing is that, once you wait it out and manage to develop and publish a direct query report into Power BI Service, it works fine with the gateway and the same ODBC driver. For information about additional advanced options not available in the Power Query UI, go to Configuring Azure Data Explorer connector options in an M Query. For every single request, it goes straight to the data. In Power BI Report Builder, you have a choice of two query designers: The Analysis Services DAX query designer, and the Analysis Services MDX query designer. There's no other functional different on security aspect. So, if you have many users who are sending requests to Snowflake and Snowflake charges you for it use. In import mode, Power BI Desktop stores data in the Power BI cache. Follow the steps described in Connect with Power BI Desktop to create a connection, using Import as the data connectivity mode. There are many reasons why using DirectQuery with dataflows, rather than importing data, is useful and helpful. Power BI offers two groups of settings:Data refresh. Import, comparison and limitations. It's possible to measure the performance impact of RLS filters in Power BI Desktop by using Performance Analyzer. In case of import, once you import the data resides in Power BI service till you refresh again. Unlike user-defined. Fresh copy of this data can be downloaded by pressing Refresh button. Message 4 of 10. You will need to have a dba anaylse the queries being sent to the DB and optimise the DB to support the queries. The views feed directly into the data model - again with no logic in the partition query (as that would just. If you are using direct query mode, then query performance is managed by the source DB, not Power BI. Optimizing performance in Power BI, especially with large datasets, is a common challenge. Power BI has several connectivity options. Should you use Import or DirectQuery data connectivity mode for your Power BI models? Let’s make the right choice by comparing the performance and scalability of the two options! Nov 19, 2020. In addition to datasets, Power BI Premium includes several other workloads including dataflows, paginated reports, and AI. (i. This means that with Import, you have more control over the data and can create complex data models,. Specify the Teradata server to connect to in Server. A Power BI dataset can operate in one of the following modes to access data from a variety of data sources. Instead, Power BI sends queries to the source and displays the results directly. As its name suggests, DirectQuery is a method of retrieving data, that pulls the data directly from the data source, at the query time! The last part of the sentence holds the key – while Import mode stores the snapshot of your data in-memory – DirectQuery (DQ) doesn’t store any data. Whereas DirectQuery offers further granularity down to 15 minutes intervals. I am embedding dashboard into a webiste. Because the data is stored locally within the Power BI. The recent release of DAX Studio 2. There are many tradeoffs to. Both tables should use Direct Query as the storage mode and use a specific SQL query. g. SQL Profiler is a tool that you can use to capture queries sent to a SQL Server database. The following articles provide more information about dataflows and Power BI: Introduction to dataflows and self-service data prep; Creating a dataflow; Configuring Dataflow storage to use Azure Data. I’ve done it for a few other groups over the last six months but this is the latest and best version, I think. You can click Transform Data, if necessary, when working with your own files. Benefits Of Power BI Import Mode. Thanks to Tristan Malherbe for recommending to use the OleDB-connector in Power Query instead. DAX should be used when aggregating data that is calculated on the fly. We are using a A1 Sku for the. pbix file is a Power BI model with 10 million rows in the Sales table. In the scenario where you have one (or more) Power BI Datasets that use Import Data, and then you use DirectQuery to build a composite model for a report, are there still significant performance impacts (as when you direct query a source database), or are those mitigated by the source datasets also being in Power BI Service?DirectQuery mode, on the other hand, delivers data freshness, yet at the expense of report performance. See moreConvert to a Composite Model Show 2 more This article targets data modelers developing Power BI DirectQuery models, developed by using either Power BI. In Get Data > Power Platform, select Power BI datasets, and then select Connect. If you require full control over data, extensive modeling capabilities, and customization, a local data model is ideal. Using the enhanced compute engine provides the following advantages: Drastically reduces the refresh time required for long-running ETL (extract, transform, load) steps over computed entities,. Import Mode: In this mode, Power BI connects with underlying data source & downloads entire data from the datasource. It provides best practice guidance on when—and how—you can achieve Power Query query folding. Import is the default option for acquiring data in Power BI, and for most scenarios is the most appropriate choice. They are calculated whenever necessary, thus they will respond to slicers in the report. However, for cases with a very large number of values, the validation isn't a guarantee that there are no. The data volumes for. In Nov 2018, we released composite models, which allow you to seamlessly add multiple DirectQuery sources and imported data to your models. (15) Power Pivot (4) Power Platform (17) Power Query (71) PowerShell (11) Reporting Services. It modifies visuals for displaying the model tables. As you create or interact with a visualization, Power BI Desktop uses the imported data and never touches the data source (underneath the. To prevent undue load on data sources, Power BI has the. So i want to figure out. PowerBI - Direct Query & Cache. Visualization rendering. The new V2. Several performance optimizations in the query engine aimed at reducing the number of data source queries per DAX or MDX query, known as DAX Fusion and MDX Fusion, significantly improved. Power BI On-premise Gateway supports scheduled refresh of datasets for BI Connector based data sources. For Direct Query, data will reside in the data source and the data source undertakes the work of querying data, the duration of the queries. Doing so lets you set data types before. Here is an example Power BI report visual on a DirectQuery model:Get Help with Power BI; Desktop; Direct Query vs Import; Reply. follow below steps. For SQL Server 2016, DirectQuery was redesigned for dramatically improved speed and performance, however, it is also now more complex to understand and implement. In Power BI Desktop, right-click on the desired table and choose Incremental Refresh. Direct query works best if you have a tabular model you are connecting to. You can perform multiple semantic model refreshes daily, which might be necessary if the underlying source data changes frequently. As such, the numbers seen in a Power BI visual don't necessarily match those for a corresponding visual in an SAP tool. Direct Lake is a fast path to query data directly from the lake for your Lakehouse/Warehouse. Watch on. Import Mode- In Import mode Power BI Desktop store the data inside Power BI Cache. Because Power BI doesn’t import the data but translates the report queries into data source queries, the latest data changes are quicky picked up, but the query/response roundtrips between Power BI and the data source take time and. When tabular models query data residing in-memory, even complex queries can be very fast. Right now I have the fact table in Direct Query and the visuals' performance is insufficient. The key differences between DirectQuery and Import in Power BI are: Data storage and processing: The Import method stores the data within the Power BI file, while DirectQuery retrieves the data directly from the data source in real time. Community Champion. Power Query engine; Analysis Services engine; 2. Yet SQL databases are pervasive data sources and there's not always a database administrador available to help set up a proper data warehouse. This is to allow any user to add the cost per credit in the currency they deal with. . All features of Power Query Editor and Power BI are available. This is a big performance improvement, since Power Query has to import less data. By fine-tuning the configuration of your datasets in Power BI, you can meet the query parallelization requirements in your environment, boosting the performance of your BI workloads in Direct Query mode. Each query is limited to return less than or equal to 1 million rows. Data immediately available. The Storage mode property is a property that you can set on each table in your model and controls how Power BI caches the table data. But if using direct query, do (or could) these performance impacts in privacy levels affect the report response times for. 1) Sales data needs to be refreshed in near real time, so "Direct Query" is preferred. Generally, query results are small in size. pbix Power BI Desktop file that does either or both of the following actions: Combines data from one or more DirectQuery sources. DirectQuery: No data is imported into Power BI Desktop. Go into FileOptions and SettingsOptions. DirectQuery is a. Live connection. * Matt is a Microsoft MVP (Power BI) and author of the Power BI Book Supercharge Power BI. With Import connection, you can take full advantages of the high-performance query engine. I have an issue regarding 'direct query' vs 'import'. -> Import vs Direct Query – So at the moment i am loading the queries into Power BI Desktop by using Import Query rather than Direct Query inturn it stores the data in the cloud, which isn’t security approved at the moment. In Visual Studio, in the model designer, click on the table (tab) that contains the partitioned table. Everything else. Microsoft announced an innovative dataset storage mode for Power BI called Direct Lake at Microsoft Build. Generally, query results are small in size. 8) Click the Sort Ascending menu item. 4. Allow me to set the scene, I work with a large tabular model in Power BI, with a Synapse data source. If you're. When you interact with the report, the imported data is shown. May 7, 2023 Chris Webb. At large enough datasets, price-performance is the correct lens for evaluating storage modes. In order to create 'networkdays' in PowerBi I believe I need to use a calendar table from another data source such as excel. This feature will be the main focus of this article. Import - extracts the data from your database and pulls it into the Power BI Desktop. 3 Answers. 130+ sessions, 130+ speakers, Product managers, MVPs, and experts. This is especially important for Power BI solutions that rely on the DirectQuery option, as you may still want to implement Row-Level-Security when using Import mode; Data shaping — Power BI has its own set of tools for performing data shaping — most noticeable — Power Query, Dataflows, and DAX calculated columns. Suppose you have 10 pretty big fact tables (each 50-100 GBs) that should be queried with Power BI. The following are a few examples: Working with large dataflows. First, click on the "File" tab and select "Options and Settings," then click on "Options" and select "Current File. Because the data is contained within the data model, it provides good performance. Import, on the other hand, can be used with. To measure embedded performance, you can use two events: Loaded event: The time until the report is initialized (the Power BI logo disappears when the load is finished). Incorrect syntax near ')'. The previous version of DirectQuery appeared in SSAS Tabular 2012 was very slow and suffered of. Select the Microsoft Lists file you want to use in Power BI. Using the Import. This option results in Power BI loading a copy of the data from the selected tables and columns of your data source. Provide the required Authantication for login and save. For example, when connecting to a query cube from a BEx query that sets the aggregation to be Cumulated, or running sum, Power BI would get back the base numbers, ignoring that setting. Use calculated measures in the SQL query, or inside of the native query is better. In the November 2017 release there is a new capability in Power BI allows you to reduce the traffic and enhance this connection method exponentially. The choice between a local data model, a live connection to an Analysis Services model, or a direct query connection in Power BI largely depends on your specific reporting needs. Import data: As per Microsoft, this is the fastest performing model as data is compressed and stored in memory which is same as tabular model. If a visual is taking 20 seconds, I want to do performance tuning to make it to load in less than 10 seconds. If you’d like to learn more about import vs direct query mode, data modelling or anything about Power BI, SSAS or Azure Analysis Services, we’re here to. Select the entity name in the Odata Service. Import Data is the fastest possible option regarding performance in Power BI. Navigate to or enter the path to the trace file for the current Power BI session, and open FlightRecorderCurrent. Click on the "Transform Data" button in the Home tab. Analysis Services tabular models can be created and deployed in Azure Analysis Services. An analyst could certainly. Open your Power BI report in Edit mode. According to your description, for Azure DataBricks data source, it supports both import and direct query modes. There are many reasons why using DirectQuery with dataflows, rather than importing data, is useful and helpful. The measure is not complex, it is just count of a columns. If you are pulling in tables and modeling with pbi then you will want to import. Query parallelization is enabled on Power BI Premium and Embedded SKUs with eight or more vCores. Is Direct Query faster than Import Mode in Power BI? Import mode is the best option if your data is less than 1 GB and isn’t constantly updating. I am retrieving data from SQL and creating data tables/visualizations with time parameters, more specifically 'networkdays'. Starting directly in Power BI Desktop and then. But the column only refreshed when I made dummy changes on the formul. Here’s a recording of a session I did for the Manchester (UK) Power BI user group recently on best practices for DirectQuery mode in Power BI: I’ve done it for a few other groups over the last six months but this is the latest and best version, I think. SQL Profiler is a tool that you can use to capture queries sent to a SQL Server database. It fundamentally changes how we create and consume BI solutions. Direct Query or Import Mode in terms of performance speed . Here, the main tables are catalog_sales and. Import Mode: In this mode, Power BI connects with underlying data source & downloads entire data from the datasource. category FROM Sales. The data is not imported or embedded into the xlsx or pbix file. Dataflows () If you want to make use of incremental refresh and direct query in your Power BI dataset, then make sure to select the PowerPlatform. You have no chance of adding measures/calculated columns into the data modle and you basically only see the source. In DirectQuery mode, data is queried directly from your cluster. This speeds up import enormously. The user selected tables and columns in the data model appear in the Fields list. The data imported by Power Query will be saved in the Azure SQL Database; You can build a model using the. Using Import brings the data into Power BI, and requires the semantic model to be refreshed independently of the dataflow. To connect to Dataverse from Power Query Online: Select the Dataverse option in the Choose data source page. If your data needs cannot be met by importing data into the model. The benefits of Import and DirectQuery models can be combined into a single model by configuring the storage. February 17, 2022. • Consider promote/certify your dataset so that it can be reused by others in the organisation. . Next switch the storage mode from your related dimension type tables to dual storage mode. In this writing, I like to share how I compare the performance between Import, Direct Query, and Direct Lake modes, in Fabric (and in Power BI). The following screenshot highlights a group of events for a query. The initial Contoso. It supports all data sources. Performance. we can determine if it’s using DirectQuery by using Performance analyzer to see if there's a Direct query row . There are 4 connectivity modes: 1. every query) is sent to Snowflake. Which do you choose and why in Power BI? Adam looks at the three options when creating reports in Power BI Deskto. Import Mode: In this mode, data is imported from the data source into Power BI’s internal data engine called the Power BI Desktop. There can only be a maximum of 10 models with change detection measure in a Power BI tenant. First, determine report visual query durations when RLS isn't enforced. DirectQuery mode used to build Real-time or near real-time BI solutions when the data is changing frequently, and Data volume is very large. Fusing data queries together and avoiding unnecessary roundtrips is a tried and proven approach to boost query performance in Power BI. The formula engine doesn’t have direct access to the database, so it normally goes through the storage engine for this purpose. May 2, 2021 Chris Webb. You can check this process in SQL Profiler. You can now connect directly to a dataflow without needing to import the data into a dataset. The query logs from Snowflake show that Power BI does run queries into Snowflake and those are completed in seconds. As its name suggests, DirectQuery is a method of retrieving data, that pulls the data directly from the data source, at the query time! The last part of the sentence holds the key – while Import mode stores the snapshot of your data in-memory – DirectQuery (DQ) doesn’t store any data. Next open the Power BI desktop and connect to the serverless SQL endpoint by using the following steps: Open the Power BI Desktop application. Their value does not change later, i. The advantage of this model is that you can combine different data source and bring it your power BI model. Treat SAP HANA as a relational source: In this case, Power BI treats SAP HANA as a relational source. 5 introduced a new feature to analyze MDX and DAX queries running in DirectQuery mode on a Power BI or an Analysis Services (SSAS) Tabular model. We do have options to connect to both the Application Server and the Message Server and the Connector works seamlessly for Import and Direct Query modes. This query parallelization reduces the impact of data source delays and network latencies on query performance. Fresh copy of this data can be downloaded by pressing Refresh button. Figure 2: Power BI model - Import Mode. Can we use both Direct Query and import option in a single Power BI Report? 1 How to use SQL with Power BI in Direct Query Mode for Impala data sources? 2 Can Power BI power query be connected to a source of. Set up the storage policy by defining: The number of days/years to store data in the Power BI service. For a complete list of data sources that support DirectQuery, refer to Power BI data sources. The aggregation feature interacts with table-level storage modes. Scheduled time is approximate. We are thrilled to announce a variety of new and highly anticipated features such as new mobile formatting options, Dynamic M Query Parameters support for more data sources, deployment pipeline enhancements and improvements to downloading a PBIX file. The Currency Exchange table manages currency conversions. For every single request, it goes straight to the data. Using a custom SQL query. Combines data from DirectQuery sources and import data. There are a number of pros and cons to. Power BI DirectQuery. Welcome to the November 2023 update. Use DirectQuery or Import mode. I ask because import mode stores this 8GB data into memory when a refresh is performed. Thursday. Update: You may notice that Direct Query on top of some of your data flows has stopped working. This query parallelization reduces the impact of data source delays and network latencies on query performance. Live (2021). Both of these connectivity modes have their own unique features and capabilities. 1. If you want to switch to import mode, you can refer to the following steps： Follow the steps described in Connect with Power BI Desktop to create a connection, using Import as the data connectivity mode. a) Manual Implementation for every “Berechtigungsrelevantes” attribute: Image 1 — Create Roles in Power BI Desktop. Open your Power BI model and select the report containing the dataset that you want to switch to import mode. As part of the Server. Direct Lake mode is a groundbreaking new dataset capability for analyzing very large data volumes in Power BI. Measuring DirectQuery Performance In Power BI. The implementation of the push dataset requires the following steps: Define and deploy the data model as a push dataset. This article also concerns Import mode only in Power BI (not Direct Query). Read more. Composite models — this feature lets you combine data coming from two different DirectQuery sources, data coming from DirectQuery and Import mode, or any combination of these. When connecting to data in Power BI, you need to choose whether you want to use Import or Direct Query mode for connecting to your data. Dataflows () connector. With SSAS Tabular there is no hard limit on the data set size; this is bound by the RAM on your server or Azure resources if you’re using a VM on the cloud. (search for "composite models" on the web) Limit the number of objects, for each object in the dashboard a query will be sent to. - RADACAD Power BI Connection Types: DirectQuery, Live, or Import? Tough Decision! Posted on July 5, 2022 Power BI supports different methods for connecting data. Select a different partition from the Partitions list, and. This data is stored in Power BI model. So in order to use tabular model and AAS you have stay with the following schema: (1) Power BI Desktop -> Azure Analysis Services -> [DirectQuery] -> SQL Database. The key differences between DirectQuery and Import in Power BI are: Data storage and processing: The Import method stores the data within the Power BI file, while DirectQuery retrieves the data directly from the data source in real time. It doesn't make sense because the stored procedure works and returns data in power query. Which do you choose and why in Power BI? Adam looks at the three options when creating reports in Power BI Deskto. No data will be imported into. Query log data is rolled forward each day. Power BI - Connect to Most Recent File in a Folder. Live Connection is one of the connection modes to connect the data source into Power BI, just like Import and Direct Query. I have a couple of . Select the "Data source settings" button and then select "Change Source". How to improve performance of Power BI connected via Direct Query to Azure Dedicated SQL pool? More details. Minimizing the distance between your Snowflake and Power BI data centers can reduce latency and improve query performance. In the OData dialog that appears, enter a URL in the text box. With DirectQuery enabled; every time you see a visualization, Power BI sends a query to the data source, and the result of that comes back. The natural starting point is Power BI Performance Analyzer, a built-in feature of Power BI Desktop. The portal doesn’t support the use of Power Query with datasets, you need to use Power BI desktop. First a review of options available within Power BI: Import: The selected tables and columns from the data source (i. Optimize the report design: Optimize report designs. The only difference is the refresh cycle. DirectQuery allows users to connect directly to a data source and maintain that direct connection while creating Power BI reports. The DAX query view is a fourth view in Power BI Desktop which allows you utilize the powerful DAX query language using EVALUATE to discover, analyze, and see. . To enable this feature, select Assume Referential Integrity as shown in the following image. Power BI Import mode is also not an option and requires the use of Direct Query in Power BI. Analysis Services is the engine powering the datasets workload. You may also hear terms like. For composite datasets, the. If you’re using the native Oracle connector in Power Query, you will probably experience a very slow import performance. You will need to have a dba anaylse the queries being sent to the DB and optimise the DB to support the queries. The query log is secure and not visible to users or through the XMLA endpoint. As your report readers interact with visualizations on your report, Power BI queries the imported data. pbix file is a Power BI model with 10 million rows in the Sales table. I have an Azure SQL which always get new dataset as often as the user wants. You can connect Azure Data Explorer as a data source to Power BI in the following ways: Starting in Azure Data Explorer web UI and then pasting the data in Power BI Desktop. There are 4 connectivity modes: 1. So, for every visual interaction Data is refreshed. If your data size is less then 1 GB or data not continually changing then you can use Import mode. Currently I am using import from a PostgreSQL server. While certainly not an exhaustive set of guiding principles, here are some of the best practices you need to create a successful workflow with Power BI and Snowflake: Model your data as a star schema. When you connect to an SAP BW system, you can also choose between these two connectivity modes. Microsoft Dataverse support for Power BI Direct Query reaches general availability (blog) View entity data in Power BI. 2) Sales Aggregates only require weekly updates for performance reasons, so "Import" mode is used. Next steps. · May 23, 2023. "Power BI does not import data over connections that operate in DirectQuery mode. 2. Select the View ribbon, and then select Performance Analyzer to display the Performance Analyzer pane. Amazon Redshift is a fast, fully managed, cloud-native data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. You can check this process in SQL Profiler. Reduces overall data refresh time: –Extracting once and re-using multiple times means you only pay the performance price for the initial slow extract once. When will refresh actually happen depends on service utilization. Power BI’s DirectQuery data storage mode works much differently than Import. If you have a slow DirectQuery report in Power BI one of the first questions you need to ask is how long the SQL queries that Power BI generates take to run. Import the required tables into. The Databricks connector provides the Databricks. Some of the visuals take 10-20 seconds to load. And importing them - got it. Other relevant best practices: • Add users to Office or Azure Active Directory groups and then use groups to share report content. Reply. Import mode. The data set can be fairly large and optimum performance is expected. Power BI DirectQuery Best Practices Video. Power BI service: RLS Users dataflow (Image by. Enter the name of the SQL endpoint where the database is located. First, when connecting to an OLAP source like SAP Business Warehouse, no transformations can be defined at all, and the entire external model is taken from the source. Follow these steps to get the query. I ask because import mode stores this 8GB data into memory when. I found the link below to differentiate Import and Direct Query to clarify both of them. 30. I’ve worked with several customers. Power BI relies on the following to create and manage automatic aggregations. You may also hear terms like. Also, some data sources may not. Message 4 of 10. Fill in your credentials. by directly querying the underlying source without a need for dataset refresh but at the cost of poor query performance. Hello @akiko_lim,. For Server Name, enter localhost: [port recorded earlier]. If you're using Power Query from Power BI Desktop, you'll be asked to select either the Import or DirectQuery data connectivity mode. Automatic aggregations use state-of-the-art machine learning (ML) to continuously optimize DirectQuery semantic models for maximum report query performance. PBIX file internally stores model. Before I go further, I must let you know that the sample data that I used here is not big enough, and has a maximum of one million rows. Even with a single row and field, the result of the query is still a table. Import Connectivity mode: Import Data Connectivity mode lets you import data into Power. For more information about DirectQuery, see Semantic model modes in the Power BI. 5. Our sample Power BI report is based on the TPC-DS dataset. To import data into Power BI, see import a query from Azure Data Explorer into Power BI, or use a. Here are the steps to follow: Open the Power BI Desktop file that you want to switch from Import to DirectQuery mode. So, for every visual interaction Data is refreshed. Import. g. DirectQuery maintains a connection to the source system, avoiding data duplication but potentially. In this article. September 13, 2022. If you are using role-based or row-level security, use groups to manage role membership. Because all data comes from the Power BI Desktop Cache, it is much faster than Direct Query mode. Many Power BI developers come from an Excel background and have little to no SQL experience. September 2, 2023 How to Switch From Direct Query to Import in Power BI Power BI is a powerful data visualization tool that allows users to connect to a variety of data sources. the report did not refresh. Query folding is the ability for a Power Query query to generate a single query statement that retrieves and transforms source data. Pros of Power BI Import: Enhanced, responsive and faster performance Power BI’s aggregations feature can be used to add tables containing pre-aggregated data to your dataset, which the Power BI engine can then use to improve query performance. You can read the announcement blog.