Power BI Gateway: A Step by Step Comprehensive Guide

Last updated on Nov 28,2024 241 Views
Experienced writer specializing in DevOps and Data Analysis. With a background in... Experienced writer specializing in DevOps and Data Analysis. With a background in technology and a passion for clear communication, I craft insightful content that...

Power BI Gateway: A Step by Step Comprehensive Guide

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Power BI is an efficient business analytics and reporting application software for analyzing data. Data access and transfer have become critical since there is a rising trend of using both on-premises and cloud data forms in an organization. This is where the Power BI Gateway comes into play. PBI Gateway is a service that connects the Power BI Service to the on-premises data sources and enables the creation of scheduled refreshes. In this article, we will describe what a Power BI Gateway is, the types of Gateway, installation of the Gateway, how to use it, and its advantages. 

What is Power BI Gateway?

Power BI Gateway expresses non-stop data refresh from the sources to the Power BI report deployment. A Power BI Gateway is an application that helps transfer data between an organization’s on-premise systems and Power BI or other related Microsoft cloud solutions such as Azure Analysis Services, Power Apps, etc. It operates as an intermediary to prevent sensitive data from being released from the organization’s on-premises infrastructure. It simultaneously enables the users to analyze it using applications hosted in the cloud. For more details, you can visit our Power BI Tutorial.

Do You Always Need a Gateway?

Not every scenario requires a Power BI Gateway. It is only necessary when your data source is in your facility or your organization’s premises. For instance, when the data is stored in an on-premises SQL Server, a gateway is needed, while in cases like Azure SQL Database, it is not. Through the Gateway, data is passed through a controlled channel so as not to traverse the Internet, keeping data within the organization’s system. 

Types of Power BI Gateway

There are three main types of Power BI Gateway: 

On-premises Data Gateway (Standard Mode): This version is suitable for large organizations that require the application to handle several users and sources of information. It enables output reports to be shared and worked on in an environment that involves development from various people. 

On-premises Data Gateway (Personal Mode): This mode is for an individual consumer. It supports only one connection type and could be better for collaborative scenes. 

Virtual Network Data Gateway: This type forms several data sources in a VN. Microsoft handles it wholly and is more suitable for tasks with many connections to other databases. 

FeaturePersonal ModeOn-premises Data Gateway (Standard Mode)Virtual Network Data Gateway
Target PersonaBusiness Analyst for personal report setupBI Admins and multiple BI developers for team useMultiple BI developers accessing complex data sources
UsageIndividual report creation and usageTeam collaboration, enterprise-level useComplex scenarios with virtual network data sources
Connection TypeImport Data or Scheduled RefreshImport Data, Schedule Refresh, Live Connection, DirectQueryImport Data, Schedule Refresh, Live Connection, DirectQuery
ManagementPer user data source managementCentralized data source managementMicrosoft-managed, no individual machine installation
Monitoring/ControlNo central monitoring or controlCentralized monitoring and controlManaged monitoring and control by Microsoft
Services SupportedPower BI onlyPower BI, PowerApps, Microsoft Flow, Azure Logic AppsPower BI, Azure Synapse, Azure Data Explorer, etc.

To further enhance your Power BI skills, consider enrolling in our Power BI Course, which covers these gateways in detail.

Power BI Gateway Architecture – Working

The components of a Power BI Gateway are shown in the image below; the steps of a Power BI Gateway include processes that ensure proper and secure transfer between cloud services and data sources on the local network. Here’s an explanation of the workflow: 

Scheduler Service and Data Movement Service (Cloud):

The topology starts from a cloud service of Power BI and the scheduler service to trigger the whole dataset refresh. The Data Movement Service creates a request to retrieve the required data from the on-premise data stores. These are queries that accompany encrypted credentials. As a result, it can participate in the access of data without posing any threat. 

Azure Relay (Cloud):

The query and the credential are then sent effectively to the service bus; this serves as the middleman. The Service Bus sends data messages to Azure Relay, a Microsoft cloud solution to assist in transferring the data requests to the on-premises network.

Gateway (On-premises):

The query and the credentials are then forwarded to the Gateway by the Azure Relay. It then decrypts the credentials for an on-premises data source to authenticate and gain access to the data. The Gateway helps as a secure link for passing data or information since it can only flow from on-premise to the cloud and vice versa. 

Database (On-premises):

The Gateway then proceeds to run the query that has been provided to it on the specific on-premises data source, a DB. It does so with the objective of safely requesting the required data that a user would want to input into a program. 

Data Return (On-premises to Cloud):

Subsequently, it transmits the data through the Service Bus into the Gateway’s cloud environment. This is transmitted safely so that the nature and content of the data will remain as is and will be concealed. 

Final Delivery (Cloud):

Data is imported and returned to the Power BI service to create reports and dashboards or refresh them.

It provides a mechanism for secure and efficient transfer of On-premise data and real-time connection to Power BI cloud service to avoid direct exposure of On-premise data to cloud service. To learn more about how to develop informative Power BI Reports, read our Power BI Reports blog.

Important Things to Consider Before Installing the Power BI Gateway

Before installing a Power BI Gateway, consider the following: 

How to Install Power BI Gateway

Step 1: Download the Gateway

Step 2: Run the Installation File

Step 3: Choose the Installation Folder

Step 4: Register Your Gateway

Step 5: Enter Gateway Information

Step 6: Optional – Add to Gateway Cluster

Step 7: Confirm Gateway Status

Step 8: Managing Gateways in Power BI Service

Step 9: Tenant Administration

Ensure that the recovery key is securely stored, as it is essential for gateway recovery or migration.

How to Use Gateway in Power BI

Once Power BI Gateway is deployed, it underlines a solution for error-free, secure data extraction from the on-premise sources to Power BI cloud service. For maximum usage of the gateway, you have to link your datasets to the on-premise sources by the usage of the gateway. Here’s a step-by-step guide on how to do this: 

Step 1: Open Power BI Desktop

Step 2: Identify and Copy Data Source Paths

Step 3: Manage Gateways in Power BI Service

Step 4: Add Data Source to the Gateway

Step 5: Confirm and Test the Connection

Step 6: Configure Dataset to Use Gateway

Gateway Connection Setup to a Dataset

To set up a gateway connection to a dataset:

  1. Navigate to the Dataset: In Power BI Service, select the desired dataset.
  2. Configure the Gateway Connection: Under the Gateway Connection tab, select Use a data gateway, choose the appropriate gateway, and apply the changes.

This setup allows the dataset to refresh using on-premises data sources securely. 

For more advanced configurations and scenarios, consider our Data Analyst Course.

Troubleshooting Power BI Gateway

Common issues with Power BI Gateway include missing data sources in the gateway setup, incorrect credentials, or network configuration errors. Enabling additional logging and accessing gateway logs can help diagnose and resolve these issues. 

For specific troubleshooting steps, consult the Power BI Gateway troubleshooting guide.

Benefits of a Power BI Data Gateway

The Power BI Gateway offers several advantages:

To prepare for interviews and understand commonly asked questions, visit our Power BI Interview Questions page.

Summary

In summary, the Power BI Gateway is a crucial component for organizations that need to access and analyze on-premises data through Power BI and other Microsoft services. It offers secure, efficient, and centralized data management, making it an invaluable tool for data-driven decision-making.

Power BI Gateway FAQ

  1. Why do you need a Power BI gateway?

The gateway enables secure data access between on-premises data sources and Microsoft cloud services, allowing for real-time analysis without moving data to the cloud.

  1. What is a gateway connection?

A gateway connection establishes a secure link between on-premises data sources and cloud-based applications.

  1. What is the difference between standard and personal gateway Power BI?

The standard gateway supports multiple users and data sources, while the personal gateway is limited to individual use and supports only one connection type.

  1. What are the requirements of Power BI Gateway?

Minimum requirements include a 64-bit Windows 7 or later operating system, .NET Framework 4.5, and specific hardware specifications for optimal performance.

  1. How is a gateway different from a router?

A router directs data packets within a network, while a gateway connects different networks, facilitating secure data transfer between them.

Also Read:

How can I download or install Tailwind Traders dataset?

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