power bi direct query vs import performance. In this article. power bi direct query vs import performance

 
In this articlepower bi direct query vs import performance

To connect SQL Server Profiler to your Power BI Desktop report: Open SQL Server Profiler. Import Mode: In this mode, Power BI connects with underlying data source & downloads entire data from the datasource. Treat SAP HANA as a relational source: In this case, Power BI treats SAP HANA as a relational source. Automatic aggregations use state-of-the-art machine learning (ML) to continuously optimize DirectQuery semantic models for maximum report query performance. The data is not imported or embedded into the xlsx or pbix file. Import mode allows Power BI to load and store the data in its own internal model, which can be highly optimized for. I'm one happy student that likes to learn. This snapshot is used to build reports, and all queries run against this in-memory data. We recommend the Import Query mode when. I’ve worked with several customers. It allows Power BI to access SAP BW data sources. This means that any changes in the underlying dataset are reflected in the report in real-time. Direct Query. Combines data from DirectQuery sources and import data. Functions with analytics / AI and ML. 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. Power BI tables can use DirectQuery, Import, or Dual storage modes. Include in the view only the columns that. Click on “Data Load”. Import vs DirectQuery in Power BI. With Direct Query - you are connecting to a database, and you have the ability to create calculated columns and measures in Power BI. DirectQuery is a. The Power BI store ensures the query is fast, and that all changes to the visual reflect immediately. Welcome to the February 2022 update. I ask because import mode stores this 8GB data into memory when. Click Extensions > Table > Partitions. It allows you to pinpoint the performance implications of each item on a report or dashboard’s speed. 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. e. If your data size is less then 1 GB or data not continually changing then you can use Import mode. Topic Options. 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. The Azure Cosmos DB V2 Connector for Power BI, with support for querying the Azure Cosmos DB transactional store in both DirectQuery and Import modes, is now in preview. To connect to Amazon Redshift data: Select the Amazon Redshift option in the Power Query - Choose data source page. DirectQuery: No data is imported into Power BI Desktop. Welcome to the September 2022 update. Hello @mandarnakil , In this case, it's better to import the dimension tables and the fact table that has the billion record usr the direct query modeling. 1 Answer. 3) Both. After the semantic model receives the report's DAX query, it generates another set of queries that are run on your data source, to get the required data. The previous version of DirectQuery appeared in SSAS Tabular 2012 was very slow and suffered of. 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 query logs from Snowflake show that Power BI does run queries into Snowflake and those are completed in seconds. Go to the App Workspace where you uploaded the PBIX file and log into the Power BI Service. You can find more detailed help on setting up Power BI data set to SQL Server in this tip. November 18, 2023 Chris Webb. For Direct Query models, these views should have no logic and just be SELECT * FROM [DatabaseName]. 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. Hello @akiko_lim,. set up data source credentials for Power BI datasets. Default mode for every report. In Data View or Report View, select the column, and then select the dropdown arrow next to Data type. Power BI’s DirectQuery data storage mode works much differently than Import. As you create or interact with a visualization, Power BI Desktop uses the imported data. DirectQuery. The formula engine doesn’t have direct access to the database, so it normally goes through the storage engine for this purpose. There are eight different data reduction techniques covered in this article. Preview returns data with no problems. When tabular models query data residing in-memory, even complex queries can be very fast. If you are using direct query mode, then query performance is managed by the source DB, not Power BI. The data is stored in an Azure SQL Database and tables have defined primary keys. Minimizing the distance between your Snowflake and Power BI data centers can reduce latency and improve query performance. First, click on the "File" tab and select "Options and Settings," then click on "Options" and select "Current File. Enter the name and port of the SAP HANA server you want to connect to. You are ready to read and query the tables using your favorite data tools and APIs. For this reason, the query plan optimizes the execution, and the JOIN can partially leverage existing indexes. Make sure your agg tables are defined ahead of time. Direct Lake is a fast path to query data directly from the lake for your Lakehouse/Warehouse. Open SQL Server Profiler, and select File > Open > Trace File. Fusing data queries together and avoiding unnecessary roundtrips is a tried and proven approach to boost query performance in Power BI. Use data in Power BI. 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. We are using a A1 Sku for the. Both of these connectivity modes have their own unique features and capabilities. The recent release of DAX Studio 2. Check the datamodel and the storage mode of each table involved (ie: fact table, calendar, customer, etc). (15) Power Pivot (4) Power Platform (17) Power Query (71) PowerShell (11) Reporting Services. DirectQuery mode. 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). In Power BI Desktop model view, you can interpret a relationship's cardinality type by looking at the indicators (1 or *) on either side of the relationship line. This article targets data modelers developing models in Power BI Desktop. If you’re using the native Oracle connector in Power Query, you will probably experience a very slow import performance. Select the "Data source settings" button and then select "Change Source". This query parallelization reduces the impact of data source delays and network latencies on query performance. 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. In the Data hub page, select the Direct Lake dataset you want to connect to, and then select Connect. YEN October 29, 2020, 4:19pm 1. 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. 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. 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. DirectQuery vs. Tip. 1. custid = o. There are some table that's in import mode, and some which are DirectQuery. 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. Now, consider a different report design. Detailed explanation can be found in the video session below. For Server Name, enter localhost: [port recorded earlier]. The user selected tables and columns in the data model appear in the Fields list. 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. For this reason, the query plan optimizes the execution, and the JOIN can partially leverage existing indexes. 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. Use DirectQuery or Import mode. In this article. Data not imported or copied into Power BI Desktop. Data immediately available. You can check this process in SQL Profiler. Import Mode-. Power BI SSAS Tabular. 05-23-2016 09:28 PM. For more information, see Power. Import Mode vs Direct. The three semantic model modes are: Import DirectQuery Composite Import mode Import mode is the most common mode used to develop semantic models. I have limited the number of rows that I am using in my queries but this doesnt seem to make much of a difference. Power BI Get Data: Import vs. Provide the required Authantication for login and save. Live (2021). 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. It only supports a subset of the Power BI features, and the performance can be slower compared to the Import method, as the queries are executed on the data source. Contents() In Power Query And Power BI M Code; How Much Data Can You Load Into Power BI? Keep The Existing Data In Your Power BI Dataset And Add New Data To It Using Incremental Refresh; Excel Workbook Layout And The Performance Of Reading Data With Power. Hello @akiko_lim,. Power BI will use its own query engine to query data. Power BI service: RLS Users dataflow (Image by. 2) Sales Aggregates only require weekly updates for performance reasons, so "Import" mode is used. Live (2021). Go to the Power BI service’s Settings page, choose the Datasets tab, select the Direct Query dataset, and then click Edit credentials. Fusing data queries together and avoiding unnecessary roundtrips is a tried and proven approach to boost query performance in Power BI. Recommended for reports using very large datasets like a Large List from SharePoint. Basically you can create view for select query and using partner power bi connector you can import it in direct query mode. With MDX Fusion, the most common MDX query patterns can now trigger far fewer SE queries where. So i want to figure out. Learn more about query caching in Power BI. 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 key differences between selecting Import and DirectQuery: Import: The selected tables and columns are imported into Power BI Desktop. These are the default settings in Power BI Desktop, so if we've chosen Query reduction or Customized to change the Optimization presets, this is how we return to the default. Push mode. Identifying which one of these is the problem is the first step to improving performance. 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. I have a dataset of 120 million rows. 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,. In addition to datasets, Power BI Premium includes several other workloads including dataflows, paginated reports, and AI. 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. While you will be using the Import method by. If you are using role-based or row-level security, use groups to manage role membership. Orders o INNER JOIN Sales. Import mode is. For Import models, these views may have filters (WHERE clause) but should not have any logic. This is a big performance improvement, since Power Query has to import less data. Power BI Get Data: Import vs. If a visual is taking 20 seconds, I want to do performance tuning to make it to load in less than 10 seconds. 13 contributors Feedback In this article Power BI data connectivity modes DirectQuery use cases DirectQuery limitations DirectQuery recommendations Show 3 more In Power BI Desktop or the. Use composite models in Power BI Desktop. Visualizations, including dashboards, Power BI reports, and Power BI paginated reports. This query parallelization reduces the impact of data source delays and network latencies on query performance. Unlike user-defined. In the Navigator, right click the top-most item containing. Import is the default option for acquiring data in Power BI, and for most scenarios is the most appropriate choice. Embed for Customer Direct Query vs Import. It is called automatic aggregations. You can click Transform Data, if necessary, when working with your own files. Which do you choose and why in Power BI? Adam looks at the three options when creating reports in Power BI Deskto. Import Mode vs Direct. 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. This data is stored in Power BI model. Power BI supports 2 modes to connect with data, Import & Direct Query. Dataflows () connector. In Import method, upon load all the data will be imported and kept on Power BI cache which will be queried while building a visual with Power BI Desktop. The fundamental idea is to maximize query performance by parallelizing as many SE queries per DAX or MDX query as possible. Live connection. The choice of data connection mode directly affects the performance of Power BI reports. Thursday. Now, the performance of this report would depend on many things. To set the Storage mode property, or view its current setting: In Model view, select the table whose properties you want to view or set. Orders table loaded into PBI Desktop using Power Query. This endpoint enables a better relationship discovery in the Power BI dataset model. A source group can represent imported data or a connection to a DirectQuery source. Create two tables in Power BI to cover the hot and cold periods of the FACT table. You can select Import, Composite, or Dual modes. A comprehensive guide to Direct Lake datasets, one question at a time. In Nov 2018, we released composite models, which allow you to seamlessly add multiple DirectQuery sources and imported data to your models. When querying the source, PBI won't use filters (directly in the query) that come from tables in import mode. Select the "Data source settings" button and then select "Change Source". Power BI Direct Query Method: In this method, at the time of creating the data model, only the schema, tables and columns are defined. Go into FileOptions and SettingsOptions. In the Power BI Service, set the security for DRLS. We are excited to announce. • Consider promote/certify your dataset so that it can be reused by others in the organisation. Some of the visuals take 10-20 seconds to load. The benefits of Import and DirectQuery models can be combined into a single model by configuring the storage. Here, the main tables are catalog_sales and. Live Connection Mode: Power BI. Power BI Pro and Power BI Premium and Embedded capacities with fewer vCores continue to process DAX and. A live dataset is a tabular model. 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. 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. however, the data will be stored in Azure. When using import, data are stored in Power BI file/service. , tables, relationships) of how your model is structured to query the data source. Import. Yes it’s different. I am retrieving data from SQL and creating data tables/visualizations with time parameters, more specifically 'networkdays'. Fresh copy of this data can be downloaded by pressing Refresh button. 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: PBIMCR - Direct Query with Chris Webb. Row-level security (RLS) with Power BI can be used to restrict data access for given users. Select the Microsoft Lists file you want to use in Power BI. A hybrid model can be deployed to blend Direct Query and Import data sources for maximum flexibility. . Loads and stores all the data into Power BI before using it in the report. e. With Import connection, you can take full advantages of the high-performance query engine. 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. With respect to the power bi premium or embedded licensing, in order to plan for required memory capacity; I want to ask - does power BI import mode require more memory compared to direct query or live connection mode - for example say dataset size is 8GB. 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. 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. In scenarios where data is less than 1 GB and doesn’t undergo frequent updates, Import mode. Step 6: Performance analyzer. When scheduled the reports takes 10-20 minutes to refresh at the same time (I have 4 reports)Actually, power bi will limit you to use dax calculation functions in calculated column if you are working on 'direct query' mode. What is the best practice for the scenario below. I’ve done it for a few other groups over the last six months but this is the latest and best version, I think. In this article. by directly querying the underlying source without a need for dataset refresh but at the cost of poor query performance. That connection is faster than the other one and will help a company maintain data integrity. Just have in mind, that this method might prevent query folding, so it is mostly suitable. PowerPlatform. There are two different Data Connectivity modes in Power BI; viz; Import & Direct Query. Go to the current file data load (1 below) and turn off background data (2 below). 1000-win64. You need to reimport. There are 4 connectivity modes: 1. " From the list of options available, select "Direct Query Options," and then choose the desired connection type. In the Navigator, right click the top-most item containing. The Currency Exchange table manages currency conversions. 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. DirectQuery vs. 3 Answers. 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). 1. To import data into Power BI, see import a query from Azure Data Explorer into Power BI, or use a. Click Load. Also, some data sources may not. In addition, complex data types, such as lookups, option sets, and currency, are flattened for easy consumption in the model. The web based Data Source did pull data from the Excel file on Sharepoint into Power BI desktop. With Azure Analysis Services, almost all tabular models can be moved. So, for every visual interaction Data is refreshed. Because the data is contained within the data model, it provides good performance. Import - extracts the data from your database and pulls it into the Power BI Desktop. For more information on connectivity modes, see Import and Direct Query connectivity modes. Direct Lake mode is a groundbreaking new dataset capability for analyzing very large data volumes in Power BI. Layers include: The data source (s) The data model. Direct connect vs import, SQL server vs SSAS source. This is a more complicated question to answer than you might think, though, and in this post I’ll explain. These designers can be used for Power BI semantic model ( previously known as a dataset ) data sources, or any SQL Server Analysis Services or Azure Analysis Services model—tabular or. Open Power BI and select SQL Server from the list of available data source in "Get Data" tab and select import mode as shown below: Figure 1: SQL Server connection - Import Mode. Import. Import Mode: The Perks. By default, it would connect to the PBI desktop model which. There can only be a maximum of 10 models with change detection measure in a Power BI tenant. * ,c. Enter the Odata URI and click ok. 👉🏻 Acelere sua carreira com o melhor curso de Power BI do merc. Generally, query results are small in size. Figure 2: Power BI model - Import Mode. Our sample Power BI report is based on the TPC-DS dataset. This article also concerns Import mode only in Power BI (not Direct Query). Our sample Power BI report is based on the TPC-DS dataset. Click on the "Edit Queries" button in the "Home" tab to open the "Power Query Editor". 03-19-2018 11:49 PM. Actually, there is one setting in Power Query that you can alter that can improve the situation a bit. No data will be imported into. 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. 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. Next switch the storage mode from your related dimension type tables to dual storage mode. 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. , calculated. 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. If you’re using the native Oracle connector in Power Query, you will probably experience a very slow import performance. DirectQuery – DirectQuery Connectivity mode lets you connect directly to data. Hello everyone! I am still trying to get a working Direct Query with PowerBI. Select “Options” from the dropdown menu. Figure 13 — Enable Direct Query for PBI Datasets (Picture by the Author) Click on the “Learn more” link to go to the Documentation page. Note: This size limit is the compressed data size that. It fundamentally changes how we create and consume BI solutions. The advantage of this model is that you can combine different data source and bring it your power BI model. Rendered event: The time until the report is fully rendered, using the. Direct Query. In case if it is a batch job, it is ideally preferable to import that data from source into powerbi model and do reporting on the imported data as a) The performance would be quicker b) There would be no to and for of data across on prem database and cloud c) the source would not be impacted constantly. There are many reasons why using DirectQuery with dataflows, rather than importing data, is useful and helpful. These techniques include: Remove unnecessary columns. [Colour],SUM ( CAST ( [t0]. As such, the numbers seen in a Power BI visual don't necessarily match those for a corresponding visual in an SAP tool. On the other hand, if your organization relies. The data set can be fairly large and optimum performance is expected. As of now, some of the cloud data sources we can connect through Power BI Live Connection are: Azure Analysis Services; SQL Server Analysis Services TabularTo connect to an SAP HANA database from Power Query Desktop: Select Get Data > SAP HANA database in Power BI Desktop or From Database > From SAP HANA Database in the Data ribbon in Excel. If your data size is less then 1 GB or data not continually changing then you can use Import mode. Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. There is a place for both DAX and Power Query when building Power BI reports. 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. All interactions and filters applied to the data will. 11-07-2022 11:45 PM. DirectQuery vs. 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 Import method, upon load all the data will be imported and kept on Power BI cache which will be queried while building a visual with Power BI Desktop. It is important to note that when using Direct. * Matt is a Microsoft MVP (Power BI) and author of the Power BI Book Supercharge Power BI. (15) Power Pivot (4) Power Platform (17) Power Query (71) PowerShell (11) Reporting Services. After that, save. However, in specific situations, you might want to influence the behavior and change the defaults. Once you have published your report to workspace online. In Power BI Desktop select the View ribbon, and then select Performance Analyzer. 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. Direct Lake mode is a groundbreaking new dataset capability for analyzing very large data volumes in Power BI. Get Help with Power BI; Desktop; Direct Query vs Import; Reply. The main differences between the two connectivity modes are outlined here, as well as guidelines and limitations, as they relate to SAP BW. ). To make the connection, take the following steps: Select the Teradata database option from Get Data. I find a way using Partner connect in databricks premium itself. In my opinion Live connections is the best option. Direct Lake is based on loading parquet-formatted files directly from a data lake without having to query a Lakehouse endpoint, and without having to import or duplicate data into a Power BI dataset. For more information about Live Connection, see Semantic models in the Power BI service (Externally-hosted models). In order to create 'networkdays' in PowerBi I believe I need to use a calendar table from another data source such as excel. Here are the steps to follow: Open the Power BI Desktop file that you want to switch from Import to DirectQuery mode. Power BI On-premise Gateway supports scheduled refresh of datasets for BI Connector based data sources. Connect to Dataverse from Power Query Online. But the column only refreshed when I made dummy changes on the formul. For SQL Server 2016, DirectQuery was redesigned for dramatically improved speed and performance, however, it is also now more complex to understand and implement. When the data is stored using a Lakehouse inside the OneLake, Power BI dataset supports a specific type of connection called Direct Lake. 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. 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. Supports complete Data Analysis Expressions — DAX i. This speeds up import enormously. The natural starting point is Power BI Performance Analyzer, a built-in feature of Power BI Desktop. 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). July 2, 2023 Chris Webb. You can perform multiple semantic model refreshes daily, which might be necessary if the underlying source data changes frequently. Direct Query - sample setup. When deploying Power BI Premium Capacity, you can select which region you want the data center for your dedicated capacity to be located in. 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. Power BI tracks model and user report queries in a query log. Allow me to set the scene, I work with a large tabular model in Power BI, with a Synapse data source. Can use power query and all dax functions. DirectQuery vs. Setup: Dedicated SQL pool > Power BI (Direct Query) Data: 3 tables (rows x columns: 4x136 user table, 4x3000 date table, 8x270. DirectQuery may be slower in some cases,. As your report readers interact with visualizations on your report, Power BI queries the imported data. These tables should be related to both your original fact (s) and your agg table (s). 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. This technique is the recommended approach, and is the default for new DirectQuery reports over SAP HANA. Interesting link. Analysis Services tabular models can be created and deployed in Azure Analysis Services. The fundamental idea is to maximize query performance by parallelizing as many SE queries per DAX or MDX query as possible. The Currency Exchange table manages currency conversions. Select OAuth2, and enter the Power BI account credentials that have access to the datasets. Next steps. Import mode provides the best performance, as data is loaded into memory, allowing for fast query response. Direct Query or Import Mode in terms of performance speed . Youtube video shows how to use partner connect. Select a different partition from the Partitions list, and. Follow the steps described in Connect with Power BI Desktop to create a connection, using Import as the data connectivity mode. Limitations of using DirectQuery : You can not connect to other sources which does not support directQuery. When selected, the setting is validated against the data to ensure there are no Null or mismatched rows. There is more to explore, please continue to read on. In this article we introduce the architecture of push datasets. Instead, your Power BI dataset is simply metadata (e. While there is a lot of overlap between the two languages. Live connection is a way of connecting a Power BI report to a published Power BI semantic model. Power BI is a business analytics solution that lets you visualize your data and share the results across your organization. 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 scalabilit. Editing your Direct Lake Datasets from Tabular Editor? Yes please! September 21, 2023; Using Microsoft Fabric Workspaces (Power BI and more!). The following screenshot highlights a group of events for a query. category <>. Please refer to a blog below: Power BI – Live connection vs.