A new firmware update hit the Nintendo Switch 2 last week. Among the multitude of small changes is a new feature that will give Switch 1 games a notable upgrade.
Version 22.0.0 for the Switch 2 went live on March 16 and is available for download to the console. The big new feature in the update was Handheld Mode Boost, which will give Switch 1 games a visual upgrade when played on the Switch 2 in handheld mode.
[Nintendo Switch 2 System Update] Version 22.0.0 adds “Handheld Mode Boost”. This will make Switch 1 games think that they are in TV mode even when in handheld. Games can run at higher resolutions in TV mode, taking better advantage of the Switch 2’s 1080p screen. pic.twitter.com/aXOKWosFAw
Even though the Switch 2 supports backward compatibility with almost all Switch 1 games, there was an issue. The Switch 2 has a higher resolution screen: 1080p versus the older hardware’s 720p. When playing a Switch 1 game on a Switch 2 in handheld mode, the graphics looked blurry and jagged.
When enabled, Handheld Mode Boost makes a Switch 1 game act as if it’s docked, so it displays 1080p at 60 frames per second. This will give the visuals an immediate upgrade.
How do you enable Handheld Mode Boost?
Handheld Mode Boost has to be turned on to see the effect, and it takes a few steps:
Select Systems Settings from the Home menu
Select System
Select Nintendo Switch Software Handling
Enable Handheld Mode Boost
Is there a downside to enabling Handheld Mode Boost?
A user on Reddit tested the mode to see how it affects the Switch 2’s battery life. The test used Doom Eternal for the Switch 1 with and without Handheld Mode Boost. The test showed that the battery life decreased from 5 hours, 5 minutes to 3 hours, 43 minutes. That’s a 27% drop and should be taken into account when using Handheld Mode Boost.
How do I upgrade my Nintendo Switch 2?
If you have Software Auto-Updates enabled on your Switch 2, a pop-up window should come up whenever you start a game. If not, head to System Settings and choose to update the console from the menu.
What other features were added in version 22.0.0?
Handheld Mode Boost was the main star of the new firmware update, but there were a slew of other changes.
Changed the on-screen text and animations when you load a virtual game card in the HOME Menu.
Added the ability to save notes about friends on your Friend List. The note content is not displayed to friends.
Added the ability to invite friends to GameChat rooms you’re participating in. Some friends may not be able to be invited, such as supervised accounts.
Friends who haven’t finished GameChat’s initial setup can now be invited to GameChat. Some friends may not be able to be invited, such as supervised accounts or those who haven’t used a Nintendo Switch 2.
Added the ability to rewind 10 seconds/advance 10 seconds with the ZL and ZR Buttons when watching a full-screen video in News or Nintendo eShop.
Added the option to add the following data to “Automatic Uploads” from Album.
Text-to-Speech, under Accessibility, can now read the text in Album and during first-time setup.
Added the ability to see the breakdown of storage capacity by data type for the system memory and microSD Express card.
Added the ability to perform an audio test when “Linear PCM 5.1 Surround” is selected for TV Sound in Audio.
When Airplane Mode is activated, the previously set preferences for Bluetooth, Wi-Fi or NFC while in airplane mode will be saved and applied.
Added the ability to individually enable or disable Bluetooth, Wi-Fi or NFC during Airplane Mode from the Quick Settings.
Added the ability to see a notification in the Nintendo Switch Parental Controls smart device application when the Parental Controls PIN is input successfully on the console. This can also be set up to be a push notification to your smart device.
General system stability improvements to enhance the user’s experience.
Power BI is a set of software services, apps, and connectors that work together to turn disparate data sources into coherent, visually immersive, and interactive insights. Your data could be in the form of an Excel spreadsheet or a hybrid data warehouse that is both on-premises and cloud-based. Power BI makes it simple to connect to your data sources, visualize and uncover what matters, and share your findings with whomever you choose.
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What are Datasets in Power BI?
A dataset is a data collection that you can connect to or import. Power BI allows you to connect to and import all kinds of datasets, allowing you to put everything together in one place. Dataflows can also be used for sourcing the data for Datasets. Workspaces are associated with datasets, and a single dataset can be used in multiple workspaces. We have selected “My workspace” and then the “Datasets + dataflows” tab in the example below
Let us now look into the different types of Datasets in Power BI.
Types of Datasets
Datasets in Power BI are ready to report and visualize the source of data. There are five different types of datasets, each of which can be constructed in one of the following ways:
An existing data model will be connected that is not hosted in a Power BI capability.
Power BI Desktop file needs to be uploaded which includes a model.
Uploading a CSV (comma-separated values) file, or uploading an Excel workbook (Includes one or more Excel tables and/or a workbook data model).
Creating a push dataset using the Power BI service.
Creating streaming or dataset with hybrid streaming using the Power BI service.
Let us now explore different types of Datasets.
1) External-hosted models
Azure Analysis Services and SQL Server Analysis Services are the two types of externally hosted models. Installing the on-premises data gateway, whether on-premises or VM-hosted infrastructure-as-a-service (IaaS), is required to connect to a SQL Server Analysis Services model. A gateway isn’t required for Azure Analysis Services.
When there are existing model investments, such as those that form part of an enterprise data warehouse(EDW), connecting to Analysis Services makes sense. By utilizing the identity of the Power BI report user, Power BI can establish a live connection to Analysis Services, enforcing data permissions. Both tabular models and multidimensional (cubes) are supported by SQL Server Analysis Services. A live connection dataset sends queries to externally hosted models, as demonstrated in the accompanying
2) Power BI Desktop-developed models
A model can be created using Power BI Desktop, a client application for Power BI development. The model is essentially a tabular Analysis Services model. Models can be created by importing data from dataflows and blending it with data from external sources. While the characteristics of how modeling can be accomplished are outside the subject of this article, it’s crucial to note that Power BI Desktop supports three different types, or modes, of models. We are going to discuss the datasets in the coming sections.
Row-Level Security (RLS) can be used in externally hosted models and Power BI desktop models to restrict the amount of data that can be obtained for a certain user. Users in the Salespeople security group, for instance, can only see report data for the sales region(s) to which they’ve been assigned. Roles in RLS can be either static or dynamic. Static roles apply the same filters to all users allocated to the position, whereas dynamic roles filter by the report user.
3) Excel workbook models
The creation of a model is automatic when datasets are created from Excel workbooks or CSV files. To construct model tables, Excel tables, and CSV data are imported, and an Excel workbook data model is translated to produce a Power BI model. In every scenario, data from a file is imported into a model.
4) Push Dataset
A Power BI dataset that can only be created and populated using the Power BI API is known as a push dataset. However, the lack of a good user interface for creating a push dataset restricted its adoption to scenarios where a single table was inhabited with real-time data streaming.
5) Hybrid Streaming Dataset
Real-time streaming in Power BI allows you to stream data and update dashboards in real-time. Real-time data and visuals can be displayed and updated in any Power BI visual or dashboard. Factory sensors, social media sources, service usage metrics, and a variety of other time-sensitive data collectors or transmitters can all be used to collect and transmit streaming data.
Before discussing the steps of creation. It is necessary to know that there are three basic ways to retrieve data in Power BI Desktop that you will use to create your visualizations:
1) Live:
Here you will be connecting to a server that carries all the data. Although no data is sent, the model’s metadata is imported into Power BI Desktop. A query is transmitted to the server when you build visualizations, and it is then executed. The outcomes are then visualized and returned to Desktop. With SQL Server Analysis Services (SSAS) models, whether multidimensional or Tabular, live connections are commonly employed. Power BI Desktop behaves like any other thin client in this scenario, like Excel or Reporting Services (SSRS). It is not possible to make major modifications to the model, but you can add new measurements that will be available in that .pbix file.
2) DirectQuery:
You can make more modifications to the model here than you can with a Live connection. The data is kept on the server, and queries are run on the server, just like in Live. The Power BI Desktop model, for instance, allows for the creation of relationships.
3) Import:
Power Query queries are used to import the data into a Power BI Desktop file (.pbix). The data is compressed highly so it’s feasible to load records in millions into a file on your system. A model, comparable to an SSAS Tabular model, is built behind the scenes. This is the most versatile mode, as it allows you to blend data from any source. However, all data must be loaded into your model, which can take a long time to refresh.
Now, let’s move to create the dataset. Below are the steps which make you comprehend the creation of the Power BI Dataset.
1) A dataset is connected to the .pbix file where it was created one by one. When you first launch PBI Desktop, click “Get Data” to create a new dataset.
Alternatively, you can choose a source from the dropdown menu as shown below:
2) Let’s assume we imported a few tables from the WideWorldImporters SQL Server sample database (The .pbix file can be downloaded here). The tables and their relationships are visible in the Model view:
3) You can view the actual data of one table at a time in the “Data view”.
4) You can create, view, and interact with visualizations built on top of the data and model in the “Report view”.
The dataset is made up of the data as well as the model view. Now, let’s move to the different modes of Dataset available in Power BI.
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Dataset modes in the Power BI
These modes of Dataset in Power BI ascertain whether or not data is imported into the model or retained in the data source. The following are the three Dataset modes in Power BI:
Import
DirectQuery
Composite
1) Import
The most popular mode for developing datasets is the import mode. Because of in-memory querying, this mode provides incredibly quick performance. Modelers can also benefit from design flexibility and support for certain Power BI service capabilities (Quick Insights, Q&A, etc.). It’s the default mode when developing a new Power BI Desktop solution because of these advantages.
It’s crucial to realize that all imported data is saved on disk. When the data is refreshed or queried, it should be fully loaded into the memory of Power BI. Import models can yield very rapid query results once they are in memory. It’s also crucial to note that there’s no such thing as a partially loaded Import model in memory. An Import model can also integrate data from any number of supported data source types. The following image illustrates it.
2) DirectQuery
Import mode can be replaced by DirectQuery mode. Data is not imported into models created in DirectQuery mode. Instead, they are made up entirely of metadata that defines the model’s structure. If the model is queried, data is retrieved by using the native queries from the underlying data source.
3) Composite
The composite mode can blend DirectQuery and Import modes, or integrate multiple data sources for DirectQuery. The storage mode for every model table can be configured for models created in Composite mode. Calculated tables (defined with DAX) can also be used in this mode.
Import and DirectQuery modes are used in composite models to give you the best of both modes. They can blend the high query performance of in-memory models with the capacity to access near real-time data from data sources when set properly.
Conclusion: We have successfully learned that Power BI lets you connect various datasets for importing and bringing them all together in one place. In this blog, we explored the topics of Datasets in Power BI in a systematic flow by understanding Power BI, then Datasets in Power BI, different types of Datasets and models used for reporting and visualizing data, creating a Dataset for connecting files, and various modes of Datasets in Power BI.
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