Extremely Fast as data resides in-memory. 000 main table) Data model: Main table to Date table connection - many-to-one based on. To load data from an OData Feed in Power Query Online: Select the OData or OData Feed option in the connector selection. You can optimize your solution at different architectural layers. By default, tabular models use an in-memory cache to store and query data. For SQL Server 2016, DirectQuery was redesigned for dramatically improved speed and performance, however, it is also now more complex to understand and implement. Optimize model design. When querying the source, PBI won't use filters (directly in the query) that come from tables in import mode. they will be taken into the Query Editor dialog where they can apply several different data transformations and filters on. These parameters, defined in the Manage Parameters dialog in Power Query Editor, are initially used to filter the data loaded into the Power BI Desktop model. The aggregation feature interacts with table-level storage modes. Allow me to set the scene, I work with a large tabular model in Power BI, with a Synapse data source. Actually, there is one setting in Power Query that you can alter that can improve the situation a bit. For Import models, these views may have filters (WHERE clause) but should not have any logic. How we can use Direct Query when loading data into Power BI DesktopDirectQuery has limitations in the data transformations that can be applied within Power Query Editor. With the click of a mouse button, dataset creators of any skill level can improve the query performance of their DirectQuery datasets! In the Power BI portal, display the settings for a DirectQuery dataset, expand the Scheduled refresh and performance optimization section, and toggle the Automatic aggregations training option to On, as in. If you are pulling in tables and modeling with pbi then you will want to import. Limit the number of visuals on a page. I am retrieving data from SQL and creating data tables/visualizations with time parameters, more specifically 'networkdays'. I have an issue regarding 'direct query' vs 'import'. Measuring DirectQuery Performance In Power BI. Rendered event: The time until the report is fully rendered, using the. It takes between 5 and 10 minutes to publish to Power BI service (my file weight 300 - 400Mo) and I keep them updated with the Power BI gateway. 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. For any Power BI person, Direct Lake mode is the killer feature of Fabric. Create one view for each table you want to create in the Power BI data model within that schema. Click on the "Transform Data" button in the Home tab. When the model is queried, native queries are used to retrieve data from the underlying data source. While you will be using the Import method by. By definition, a composite model combines multiple source groups. If a visual is taking 20 seconds, I want to do performance tuning to make it to load in less than 10 seconds. In Power BI Desktop, select Get data. Refer: Power BI refresh types. July 2, 2023 Chris Webb. Push mode. The fundamental idea is to maximize query performance by parallelizing as many SE queries per DAX or MDX query as possible. This is a more complicated question to answer than you might think, though, and in this post I’ll explain. Right now I have the fact table in Direct Query and the visuals' performance is. I would like to highlight some of the facts as far as speed and performance is concerned - Upon Importing the Data, the Power BI ensures the queries are loaded quickly and all changes to the visual are reflected immediately whereas while using the DirectQuery option, queries are sent to the underlying data source to retrieve the necessary data. You will need to have a dba anaylse the queries being sent to the DB and optimise the DB to support the queries. This approach offers greater flexibility. Power BI supports 2 modes to connect with data, Import & Direct Query. Yes, that's right--put the dimensions you'll want in slicers into their own table in Import mode and relate to your fact table. Place a card visual on the report canvas, select a data column to create a basic report, and then on the View menu, select Performance analyzer. The direct query option I can only see it worthy for a very special situation that need a composite model to incorporate one table for an specific requirement. APPLIES TO: Power BI Desktop Power BI service. First, determine report visual query durations when RLS isn't enforced. Next open the Power BI desktop and connect to the serverless SQL endpoint by using the following steps: Open the Power BI Desktop application. 1. 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. 10-08-2018 06:55 AM Hi All, I think this question has come back quite a few times, but I have found no clear answer to my question. Hi, Currently evaluating a dashboard solution. Power Query should be used when data transformations need to occur while data is being imported. The formula engine doesn’t have direct access to the database, so it normally goes through the storage engine for this purpose. Another thing to note in difference. 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 will use its own query engine to query data. In this article, we will explore some techniques to optimize Power BI performance and ensure that reports load quickly and efficiently. 08-18-2020 02:33 AM. In order to create 'networkdays' in PowerBi I believe I need to use a calendar table from another data source such as excel. This UI is basically the use of Power Query to import data. They are calculated whenever necessary, thus they will respond to slicers in the report. Orders o INNER JOIN Sales. a) Manual Implementation for every “Berechtigungsrelevantes” attribute: Image 1 — Create Roles in Power BI Desktop. I would like to highlight some of the facts as far as speed and performance is concerned - Upon Importing the Data, the Power BI ensures the queries are loaded quickly and all changes to the visual are reflected immediately whereas while using the DirectQuery option, queries are sent to the underlying data source to. If you need to refresh data, more often consider using live connection. for me, import will be best in performance if the data set loaded not. For more information about Live Connection, see Semantic models in the Power BI service (Externally-hosted models). Import Mode: The Perks. Power BI を検討する際、最初に検討するべき項目の一つとして、データソースへの接続モード（インポート、DirectQuery など）があります。 一般的に、Power BI では機能面とパフォーマンス面から、可能な限りインポート形式のデータセットでデータモデルを構築. With MDX Fusion, the most common MDX query patterns can now trigger far fewer SE queries where. Microsoft Power BI is a business analytics service that delivers insights to enable fast,. This version of the query only took an average of 0. 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. You can perform multiple semantic model refreshes daily, which might be necessary if the underlying source data changes frequently. , tables, relationships) of how your model is structured to query the data source. DirectQuery mode. Live (2021). Power BI Get Data: Import vs. This means that with Import, you have more control over the data and can create complex data models, but it. For example, If a table’s storage mode is Import, then it means the data of that table will be stored in the in-memory storage of the Power BI server (the machine that runs the Power BI engine). Consider the following table called FruitSales in a SQL Server database: If I build a DirectQuery dataset containing only this table I can create the following Power BI report with a matrix and a slicer: The SQL query generated by Power BI to get the data for the matrix is this: SELECT TOP (1000001) [t0]. 07-20-2018 10:08 AM. If I answered your question, please mark my post as solution, Appreciate your Kudos 👍. However, after testing this, I want to let you know that I. Direct query to a dataflow is going to be equivalent of loading it into an Azure SQL server. You are ready to read and query the tables using your favorite data tools and APIs. Import - extracts the data from your database and pulls it into the Power BI Desktop. –Reading data from a dataflow is fast, probably much faster than extracting data from the original source. . How you can incrementally refresh any Power BI data source (This. This connector provides connectivity to Amazon Redshift in Power BI Desktop, including both Import and DirectQuery connectivity modes, enabling full flexibility in terms of connectivity options for Report Authoring. Layers include: The data source (s) The data model. Because the storage mode for each fact table is Direct Query or Import, the storage mode for the dimension tables must be set to Dual. How we can use Direct Query when loading data into Power BI DesktopDirectQuery has limitations in the data transformations that can be applied within Power Query Editor. 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. In the Power BI service, users with access to a workspace have access to semantic models in that workspace. DirectQuery vs. Click on the upgrade now. 03-19-2018 11:49 PM. 2. Power BI ensures that the query results. DirectQuery – DirectQuery Connectivity mode lets you connect directly to data. Select the relevant table (s) and click the "Edit" button. Power BI relies on the following to create and manage automatic aggregations. Import the required tables into. Direct Query - sample setup. . At this point, further optimization can be achieved by enabling the “Assume referential integrity” option in the relationship between Sales and Date in the Power BI model. I am embedding dashboard into a webiste. e. First a review of options available within Power BI: Import: The selected tables and columns from the data source (i. ). Power BI Direct Query Method: In this method, at the time of creating the data model, only the schema, tables and columns are defined. Problem 1, In Power Query I set the data source to direct query and execute a stored procedure. Data models are either hosted in the Power BI ecosystem or externally (by. Their value does not change later, i. It’s equivalent to loading data into an Azure Analysis Services but it’s own Power BI flavor. It is called automatic aggregations. • Consider promote/certify your dataset so that it can be reused by others in the organisation. Apr 19, 2017. May 2, 2021 Chris Webb. Idrissshatila. PBI Desktop release manager. 66 seconds, with a worst case performance of 6. Select the "Transform Data" button on the "Home" tab. g. Image by author. Automatic aggregations are built on top of existing user-defined aggregations infrastructure first introduced with composite models for Power BI. 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. Minimizing the distance between your Snowflake and Power BI data centers can reduce latency and improve query performance. This means that with Import, you have more control over the data and can create complex data models,. If you’re using the native Oracle connector in Power Query, you will probably experience a very slow import performance. There are eight different data reduction techniques covered in this article. Customers c ON c. Ensure Data Center Distance Is Minimized. Storage Engine works in two different ways in order to retrieve requested data: VertiPaq keeps the snapshot of the data in-memory. . Actually, there is one setting in Power Query that you can alter that can improve the situation a bit. As you create or interact with a visualization, Power BI Desktop uses the imported data and never touches the data source (underneath the. Both of these connectivity modes have their own unique features and capabilities. A DirectQuery source can be either a relational database or another tabular model, which can be a Power BI semantic model ( previously known as a dataset) or an Analysis Services tabular model. I’ve worked with several customers. 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 . Just have in mind, that this method might prevent query folding, so it is mostly suitable. Select the data source you want to connect to, and configure the connection details including server, database, username, and password. 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. Some of the visuals take 10-20 seconds to load. Create one view for each table you want to create in the Power BI data model within that schema. In Power BI Desktop, right-click on the desired table and choose Incremental Refresh. Starting directly in Power BI Desktop and then. In Power BI Performance language this can be called the Visual query Limit the time it takes to run the Visual query The visual query on the other hand cares about which kind of visual that you. follow below steps. If your data needs cannot be met by importing data into the model. 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. 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. This can be done in either Power BI Desktop or Power BI Service. We are excited to announce Direct Query support (Preview) for Power BI dataflows. YEN October 29, 2020, 4:19pm 1. . . 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. The user selected tables and columns in the data model appear in the Fields list. Power BI SSAS Tabular. Once my transformations (what can be folded) are complete, all remaining data is downloaded (imported) to the Power BI Azure database for further data manipulation (non foldable transformations, DAX, visuals). Import Mode: In this mode, data is imported from the data source into Power BI’s internal data engine called the Power BI Desktop. Also, some data sources may not. 1 Answer. Write the new transactions in the Sales table, grouping the rows in a single POST rows call every 30 seconds. There is more to explore, please continue to read on. DirectQuery: No data is imported into Power BI Desktop. Power BI Pro and Power BI Premium and Embedded capacities with fewer vCores continue to process DAX and. -> 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. You will need to have a dba anaylse the queries being sent to the DB and optimise the DB to support the queries. Use composite models in Power BI Desktop. Optimize data source performance. However, there are some limitations to using cached data, for example, very large data sets can exceed available memory and processing (refresh) of in-memory model data can require. For any Power BI person, Direct Lake mode is the killer feature of Fabric. From an architectural point of view, you can imagine DirectQuery as an alternative storage engine to VertiPaq (which uses an in-memory compressed. There are two types of data connections when we’re connecting to RDBMS like SQL Server or Oracle DB from Power BI Desktop: Import Data: which literally loads data into the underlying. For example, the query that runs on the data source can aggregate 10 million rows. In the Incremental Refresh settings window, turn on the Incrementally refresh this table slider. The Databricks connector provides the Databricks. Yet SQL databases are pervasive data sources and there's not always a database administrador available to help set up a proper data warehouse. Select the entity name in the Odata Service. The Power BI service sends queries, and the gateway responds with query results. There is a requirement for a Power BI report to be created using data from a few (at least 5) Oracle tables in 2 schemas. The initial Contoso. 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. In this article we introduce the architecture of push datasets. 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. Virtual network data gateways allow import or direct query datasets to connect to data services within an Azure VNet without the need of an on-premises data gateway. The Currency Exchange table manages currency conversions. Select the relevant table (s) and click the "Edit" button. I have an Azure SQL which always get new dataset as often as the user wants. The following are a few examples: Working with. Using The RelativePath And Query Options With Web. Not sure what DirectQuery is or how it works in Power BI? Then, this is the quick video you will want to watch! In this quick discussion we will talk about t. The Power BI store ensures the query is fast, and that all changes to the visual reflect immediately. Embed for Customer Direct Query vs Import. Learn more about query caching in Power BI. 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. This snapshot can be refreshed from time to time, from the original data source. DirectQuery – DirectQuery Connectivity mode lets you. More than one year ago, I and Alberto Ferrari started to work on DirectQuery, exploring the new implementation appeared in Analysis Services 2016 for the Tabular models, which uses the same engine of Power BI. Composite models “Gen2” — “Gen2” is not an official name for this feature. The SAP BW Connector for Power BI supports BW version 7. Suppose you have 10 pretty big fact tables (each 50-100 GBs) that should be queried with Power BI. The dialogue confirms our settings. Power BI - Connect to Most Recent File in a Folder. There are two different Data Connectivity modes in Power BI; viz; Import & Direct Query. trc. Pros and Cons etc. Enter the Odata URI and click ok. This type of connection is fast (like an import data connection) and real-time (like a DirectQuery connection). Setting Assume Referential Integrity. DAX should be used when aggregating data that is calculated on the fly. There are 4 connectivity modes: 1. Switching to Import Mode: Yes, switching your report to Import mode can significantly improve the report's performance. Import Mode Overview Performance: The Import method can offer better performance than DirectQuery, as the data is stored locally and can be optimized for performance. 👉🏻 Acelere sua carreira com o melhor curso de Power BI do merc. Option to Select Import & Direct Query within Power BI Direct Query – When you connect a data source using the Direct Query technique, your dashboard will query the data. Data source is an on-premises SQL server. Doing so lets you set data types before. SQL Server Profiler displays all events from the current session. Enter the name and port of the SAP HANA server you want to connect to. The key differences between selecting Import and DirectQuery: Import: The selected tables and columns are imported into Power BI Desktop. Check the datamodel and the storage mode of each table involved (ie: fact table, calendar, customer, etc). The example in the following figure uses. A source group can represent imported data or a connection to a DirectQuery source. Select the "Data source settings" button and then select "Change Source". In the Navigator, right click the top-most item containing. When you interact with the report, the imported data is shown. So, you can publish your. * Matt is a Microsoft MVP (Power BI) and author of the Power BI Book Supercharge Power BI. DirectQuery. Open your Power BI report in Edit mode. If your data size is less then 1 GB or data not continually changing then you can use Import mode. If you require full control over data, extensive modeling capabilities, and customization, a local data model is ideal. 30. 1. [TableName]. For choosing direct query or import, you need to consider the data amount (1GB limit for dataset size) and refresh frequency. Analysis Services tabular models can be created and deployed in Azure Analysis Services. The data is not imported or embedded into the xlsx or pbix file. This feature will be the main focus of this article. Power Query engine; Analysis Services engine; 2. We can directly import data in Power BI and take advantage of high-performance query engine and provide full feature experience. At the time of writing there are two dataflow connectors available in Power Query. pbix file size is like 900KB, so you get a sense of the tables rows which is also small (around the 10k - 50k rows). The query is the DAX formula you need for the dataset in Power BI Report Builder. 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. In Import mode, data is moved to Power BI. Here are the steps to follow: Open the Power BI Desktop file that you want to switch from Import to DirectQuery mode. If you are using direct query mode, then query performance is managed by the source DB, not Power BI. Go to the App Workspace where you uploaded the PBIX file and log into the Power BI Service. Power BI SSAS Tabular. 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. 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 aggregation is a process in which Power BI will check the usage logs of the columns and tables in the Power BI dataset, and it creates automatic aggregation tables based on that. Use composite models and aggregations appropriately. Try to make sure that your gateway, data source locations, and the Power BI tenant are as close as possible. Right now I have the fact table in Direct Query and the visuals' performance is insufficient. The largest Power BI and Fabric virtual conference. In Get Data > Power Platform, select Power BI datasets, and then select Connect. Even with a single row and field, the result of the query is still a table. Power BI DirectQuery. When a tabular model connects to. We are excited to announce. This data is stored in Power BI model. I found the link below to differentiate Import and Direct Query to clarify both of them. A Direct Query connection will run queries directly to your source at run time. When the data is stored using a Lakehouse inside the OneLake, Power BI dataset supports a specific type of connection called Direct Lake. In the OData dialog that appears, enter a URL in the text box. Not all data sources support both connection types. For Direct Query, data will reside in the data source and the data source undertakes the work of querying data, the duration of the. 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. So, for every visual interaction Data is refreshed. Performance. DirectQuery allows users to connect directly to a data source and maintain that direct connection while creating Power BI reports. And importing them - got it. Gives you the full suite of transformation and data manipulation in the Desktop. Yes it’s different. Other things to note: Import -. DirectQuery: Choosing the Right Connection Strategy When venturing into Power BI Desktop and connecting to data, one of the initial decisions every Power BI developer encounters is whether to opt for the Import or Direct Query approach. Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. 11-07-2022 11:45 PM. In this article. How to improve performance of Power BI connected via Direct Query to Azure Dedicated SQL pool? More details. 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. I have prepared a report with my fact table in directquery mode. Loads and stores all the data into Power BI before using it in the report. As your report readers interact with visualizations on your report, Power BI queries the imported data. Fill in your credentials. Preview returns data with no problems. This article provides guidance that enables developers and administrators to produce and maintain optimized Power BI solutions. It is important to note that when using Direct. Include in the view only the columns that. Power BI ensures that the query results. The location of the gateway installation can have significant effect on your query performance. I’ve done it for a few other groups over the last six months but this is the latest and best version, I think. Next Post Optimising The Performance Of Power Query Merges In Power BI,. by directly querying the underlying source without a need for dataset refresh but at the cost of poor query performance. July 2022: This post was reviewed for accuracy. Power query results are always fresh and Delta Lake data security controls are enforced. Power BI’s DirectQuery data storage mode works much differently than Import. If you’re using the native Oracle connector in Power Query, you will probably experience a very slow import performance. Direct Lake mode is a groundbreaking new dataset capability for analyzing very large data volumes in Power BI. Select the dataset you want to import and click on the "Data Source Settings" in the "Manage" tab. Note: This size limit is the compressed data size that. 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. You can check this process in SQL Profiler. Every query to the data will be a query to the in-memory structure, not to the data source. For Server Name, enter localhost: [port recorded earlier]. For SQL Server 2016, DirectQuery was redesigned for dramatically improved speed and performance, however, it is also now more complex to understand and implement. Power BI Direct Lake mode is in public preview. To configure incremental refresh in Power BI Desktop, you first create two Power Query date/time parameters with the reserved, case-sensitive names RangeStart and RangeEnd. 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. 3. Remove unnecessary rows. This speeds up import enormously. For this reason, the query plan optimizes the execution, and the JOIN can partially leverage existing indexes. So i want to figure out. Fresh copy of this data can be downloaded by pressing Refresh button. When you use DirectQuery, composite models make it possible to create a Power BI model, such as a single . Import is the default option for acquiring data in Power BI, and for most scenarios is the most appropriate choice. Direct query works best if you have a tabular model you are connecting to. So, for every visual interaction Data is refreshed. Power BI Import vs Direct Query: Pros and Cons. Power BI — Measures The what-if parameter in Power BI gives the ability for some simple user input. I find a way using Partner connect in databricks premium itself. 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. We are excited to announce. 1. Optimizing the data model. Data is only brought into Power BI reports and dashboards at query-time (e. Using M's built-in Odbc. The choice of data connection mode directly affects the performance of Power BI reports. Click Load. When you interact with the report, the data is. 01. If you are using role-based or row-level security, use groups to manage role membership. x and above. That is why the decision to. Generally, query results are small in size. Open your Power BI model and select the report containing the dataset that you want to switch to import mode. The user selected tables and columns in the data model appear in the Fields list. Optimizing performance in Power BI, especially with large datasets, is a common challenge. Message 4 of 10. DirectQuery may be slower in some cases, as it relies on the performance of the data source and network connectivity. Direct connect vs import, SQL server vs SSAS source. Where as manual aggregations is supported for import as well as direct query mode. Import faster. This is definitely worth doing, but in my experience, it didn’t solve the SharePoint performance problem. Import. Though you can build real-time reports with DirectQuery, push datasets offer a more scalable, economical, and effective solution especially when combined with an Import model already in place. You can't use these statements in subqueries. This article also concerns Import mode only in Power BI (not Direct Query). Microsoft Fabric can ensure business users in your organization have access to the data and insights needed to make data-driven decisions. Our sample Power BI report is based on the TPC-DS dataset. Starting directly in Power BI Desktop and then. See also. As part of the Server. PowerBI - Direct Query & Cache. 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. Here, the main tables are catalog_sales and. A composite model in Power BI means part of your model can be a DirectQuery connection to a data source (for example, SQL Server database), and another part as Import Data (for example, an Excel file). It doesn't make sense because the stored procedure works and returns data in power query. Using a custom SQL query. In Import mode Power BI Desktop store the data inside Power BI Cache. When previewing a physical or virtual dataset in Dremio, a user can simply click on the Power BI button to start Power BI Desktop and automatically connect to the. Fusing data queries together and avoiding unnecessary roundtrips is a tried and proven approach to boost query performance in Power BI. SQL Profiler is a tool that you can use to capture queries sent to a SQL Server database. Using Import brings the data into Power BI, and requires the semantic model to be refreshed independently of the dataflow. May 7, 2023 Chris Webb. Go to the current file data load (1 below) and turn off background data (2. If for example your data source is an SQL Server database, Power BI will generate SQL queries to get the data it needs. Solved: Circa the June 2021 release of Power BI, direct query to dataflows is now generally supported (in Premium). 9) Click the menu option Keep Top Rows. Import mode report performance (or near enough) direct on data from the lake, with none of the waiting around for data to refresh! It seems too good to be true. The Sales table is related to Customer, Date, Product, and Store. Then select Next.