While you may be familiar with Power BI, what about its gateway? For those who don't know, a Power BI Gateway effectively provides on-premises data access without moving it to the Cloud. In this post, you'll learn what Power BI data gateway is and the steps to install it. Also, read some of the benefits of using a Power BI gateway.
When your business expands, the larger the data infrastructure. At this point, you need various connections to create a single Power BI report. Power BI supports over 50 native connectors to create powerful reports. However, establishing a connection between your on-premises and cloud data is not that simple.
This is where you need a Power BI gateway to connect with the on-premises data source. Learn all the vital details regarding Power BI gateways and how to use them to create reports in this blog.
|Power BI Gateway - Table of Content|
Power BI Gateway is software you require to access data in an on-premises network. It acts as a gatekeeper for the on-premises data sources. They provide highly secure connections between the on-premises and single/multiple data sources.
The request for accessing the on-premises data from a cloud is always made through a gateway based on authenticity. Generally, gateways do not share data from the on-premises source to the client platform but connect that platform directly to the on-premises data source.
Gateways allow organizations to save their data on-premises and secure data access when needed. You can access data from various Microsoft cloud services like Power BI, Azure Analysis Services, Power Apps, Power Automate, and Azure Logic Apps.
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The following demonstrates why Power BI requires gateways:
Power BI supports three types of gateways based on the scenario:
1. On-premises Data Gateway (recommended/standard)
Power BI gateway's standard version supports multiple users to connect to several on-premises data sources. This gateway is best for enterprise operations. It allows access to the multi-developer environment for report sharing and collaboration.
2. On-premises Data Gateway (personal mode)
The personal on-premises data gateway is easier to install than the standard version. However, the features in this are limited.
You can use the personal on-premises data gateway versions with Power BI. This gateway supports only a single connection to import or refresh data but can't share it with others. And this gateway is well-suited for individual business analysts to create reports.
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3. Virtual Network Data Gateway
As the name implies, it connects multiple data sources in the virtual network. In some scenarios, you don't need to install it.
Microsoft entirely manages the Virtual Network Data Gateway. This is best suited for complex scenarios where multiple people access multiple data sources.
Now that you understand the types of Power BI Gateway. Let's know how the Power BI gateway works.
|Target Users||Multiple BI developers and administrators.||An individual user creates reports and does not share the data sources with others.||Multiple BI developers are working with multiple data sources.|
|Management Style||Central hub to manage data sources.||An individual user manages the data sources.||Similar to the standard version management style.|
|Support Services||Supports Power BI and associated Microsoft services.||
Only Power BI.
Understanding the on-premise gateway architecture is quite complex. Here is a simple explanation for working on data gateways with the help of a diagram and points given below:
The on-premise data gateway has three parts:
The following steps explain the working of the Power BI Gateway:
|Related Page: Know about Power BI Architecture|
Following are the steps to use a gateway.
Ensure you possess the following specifications before installing the gateway:
Step 1: After signing in to the account, click on the menu highlighted. Select Download and then Data Gateway.
Step 2: Next, a new tab will open, showing you the below options. Here, we'll select the standard mode.
Step 4: Enter the email address you use in the organization, and select the sign-in option.
Step 5: Select Register a new gateway on this computer and click Next.
Step 6: In the next window, enter the details for your gateways, such as the gateway name and the recovery key.
Step 7: Once you've installed a gateway, you can add another to create a cluster.
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Here, Power BI Workspace is our cloud-based service. And will connect an on-premises data source from a cloud-based service through the gateway.
The final step is to set up a gateway connection to the dataset. This helps a Power BI user to utilize datasets from the on-premises data source. It is necessary that the data source you added be located on your local device. Only then can you access it from the Power BI service?
|Also Read - Power BI Interview Questions|
The benefits of using a Power BI Gateway:
You can install the gateway once and deploy it on several on-premises data sources.
You can download and install the gateway with minimum requirements.
Gateway provides secure data access through Azure Service Bus.
The on-premises data gateway provides efficient and safe data transmission between various Microsoft cloud services and on-premises data (data that isn't in the Cloud).
A gateway creates a connection between on-premise data storage and cloud-based services.
The main difference between the Personal and Standard versions of the Power BI gateway is that the Personal version is better suited for single users. In comparison, the standard version is preferable for groups of users.
The minimum requirement of Power BI data gateway is the availability of 64-bit Windows 7 and a .NET 4.5 framework.
A router routes various data packets over a similar set of networks. Whereas a gateway connects two networks that are extremely different from one another.
You have learned about all the essential details regarding the Power BI gateway in this blog, including its role and the various versions available. Now that you've understood how the Power BI gateway works and how to install it.
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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