Get Upto 50% Offer | OFFER ENDING IN: 0 D 0 H 0 M 0 S

Log In to start Learning

Login via

  • Home
  • Blog
  • Explain Power BI Architectu...
Post By Admin Last Updated At 2020-06-11
Explain Power BI Architecture and its working?

Power BI is a famous business suite. The Power BI architecture is a combination of various services, components, and clusters. Power BI architecture is a kind of service that is built on Azure, a cloud computing platform of Microsoft. Today many business entities use various analytical and intelligence services and tools that help them much. Moreover, using these services every business expands its area within the market.

The working of Power BI architecture and its various components helps businesses to develop dynamically.

Microsoft Power BI Architecture

The Power BI delivers excellent business intelligence solution that powerfully drives business. Besides, Power BI architecture includes different phases or steps. These are;

  • Data Sources/integration
  • Transforming Information
  • Report and Publish
  • Creating a Dashboard
Data Sources/Integration

Power BI extracts data from different sources. It can be from servers or databases or any service link is created to get continuous information. The data gathered from different sources may be in different types and formats. For example, if we import any file into the Power BI, it compresses the data up to 1GB. Later, the data is integrated into a standard and secure format and stored safely. Furthermore, there are two choices of such big data or information. These are as follows.

  • Azure Analytics Services
  • Power BI premium
Data Transforming

The data extracted & integrated is not useful to visualize because it needs transformation. To transform this data, it should be cleaned and error-free. For example, irrelevant & missing values are erased from the data sets. Besides, there are many choices available to transform data into meaningful insight. After cleaning the data, some business rules and formats are applied to transform it into visuals. Moreover, the data after processing loaded into the data warehouse for storage. It is the place from where the management people retrieve data for decision making.

Report and Publish 

Now we are ready to present the reports after sourcing and transforming the data. The reports are the way of data visualization using different filters and slicers. These may be in the form of graphs, charts, bar charts, pie charts, diagrams, etc. Moreover, there is an availability of custom visualization also. Here, we can publish the reports to power bi facilities after generating them. Besides, we can also publish them with on-premise Power BI servers.

Get more insights by enrolling in the Power BI Online Course from industry experts.
Creating a Dashboard

After generating and publishing reports, we can create dashboards in Power BI services. Here, it uses to pin the individual elements or the page of the live report and the visual maintains the filter setting to save the report. Moreover, there is an option to choose slicers and filters while pinning the live report page. It enables the user to interact with the dashboard visuals easily.

Power BI Architecture working

Here, we look at the working of different components of Power BI architecture together.

To start this, we need to begin with the source of data that flows into the Power BI components. Power BI gets these data from different sources such as files, on-cloud, on-premise databases, or from direct connections.

On-Premise

Power BI Desktop is a development, authorizing, and publishing tool that allows users to import data from different data sources. They can use it to create and publish various reports on a Power BI Service or Report Server. These reports are visualized for making better decisions.

On-Cloud

The Power BI Gateway is an important part of Power BI Architecture that makes a secure way to transfer data or information from on-premise to cloud data sources. Besides, the Cloud architecture of Power BI includes various components. Such as; datasets, dashboards, reports, Power BI Embedded, and Premium. Moreover, these on-cloud data sources are connected to various Power BI tools as well.

Power BI service architecture

The Power BI service architecture enables the user to create and access various reports and dashboards from the client platforms. The user needs to request or interact with the Power BI service to get data on the Power BI.

The Power BI implementation includes two major clusters. Such as a Web Front End (WFE) cluster, and a Back-End cluster.

The Web Front End cluster manages the initial connection between the back end cluster and the clients. It uses AAD (Azure Active Directory) to authenticate clients. Moreover, it provides various tokens for connecting clients to the Power BI service. Besides, Power BI also uses the Azure Content Delivery Network (CDN) to distribute the content efficiently. Besides, it uses ATM (Azure Traffic Manager) to distribute content to users based on various geographical locations.

The Back End Cluster is useful to maintain various reports, storage, data sets, and other services under Power BI. In the BEC, the client has only two points to interact directly with the information or data. These are the Gateway Role and Azure API Management. Moreover, these components are useful for various services like load balancing, authentication, and routing, etc.

Power BI components

Power BI architecture includes several components that work together. These components are an important part of Power BI that delivers its capabilities. Now, we will discuss in detail the various components of Power BI architecture.

a) Data Sources

There are many data sources that Power BI uses to extract data and transform it into meaningful insight. The data sources that support Power BI are databases, file types, Azure, online services, other services (HDFS, ODBC, Spark, R Script), etc.

b) Power BI Desktop

This is free software that allows users to connect, transform, and visualize information or data on the desktop. Besides, the user can connect to different sources of data using Power Desktop and combine all the data into a data model. This enables the user to create a variety of graphical images to share with other people within the organization for records. Moreover, most users working on various BI projects use this feature to generate reports.  Later, they also use Power BI to share these reports with others.

c) Power BI Mobile

Using these mobile applications the user can connect with the information anywhere and anytime. It supports various platforms such as iOS, Windows, Android, etc. Moreover, these applications are useful for visualizing various dashboards and reports easily. 

There are many arrangements by Power BI for mobile apps for different gadgets. It offers different models and services for different types of devices and their usage. All services are compatible with every device and also update regularly. These apps can be configured with custom solutions that provide better engagement and service. Furthermore, there many apps designed for these gadgets like iOS, Android, Tablets, etc.

d) Power BI Report Server

Under Power BI architecture, the Report Server component is an on-premise platform similar to Power BI Service. Moreover, the Report Server allows users to create various dashboards and reports to share with others following proper security protocols.

e) Power BI Gateway

The Power BI gateway is useful to maintain information freshly by creating a link to on-site data sources without moving the information. Moreover, by linking to on-site information sources, the user can maintain information afresh using the on-site gateways. Here, the user can transfer his precious data securely between the cloud services as well as on-premise.

f) Power View

The Power BI View in the Power BI architecture components offers interactive visualization. It allows the user to use drag and drop facilities to create visualizations quickly and attractively.

g) Power Pivot

The element Power Pivot helps to store the information within memory and enables users to store highly compressed data. It also allows for faster aggregation of data and computation. Moreover, Power Pivot is also useful within an Excel workbook that helps to build data models. The advantage of this component is that it can load data itself or power query helps to load data into it. Furthermore, it is similar to the SSAS model like a server-based version of the Power Pivot.

Power Pivot has no limit on the number of lines alike in MS Excel. Some features make it a unique tool for users to do some tasks. Such as loading limitless tables, data compression for the data model, fully supported database engine, faster data transformation, etc.

h) Power Q&A

The Power Q&A is the Power BI architecture feature that allows users to explore data in their own specific words. Here, the users can use natural language to ask a query and get the answer for the same. Moreover, this is the fastest way to get any query answered within a limited time. It’s an interactive path with query solution and visualization of the answer to the user. There are many ways to use Q&A within Power BI.

The Power Q&A within the Power BI architecture is useful in the Power BI Service dashboards, reports in the Desktop model, etc. Moreover, in mobile apps also this service is useful.

||{"title":"Master in Power BI", "subTitle":"Power BI Certification Training by ITGURU's", "btnTitle":"View Details","url":"https://onlineitguru.com/power-bi-training.html","boxType":"demo","videoId":"lMRDw7hqQtc"}||

i) Power Map

The Power Map component within the Power BI architecture is useful to visualize data in the simplest way. It is mostly useful in the Power BI Desktop model where users can build and develop various models of data. They can build shape map visuals to define data from different sources. To represent different locations, Power Map is the best way to define.

The data relevant to be present through using Power maps is as follows;

  • Category
  • Bubbles
  • Data color
  • Heat Map
  • Map styles
  • Map controls

Moreover, there are four different types of the in-built map within Power BI Architecture visuals:

  • Map (Basic)
  • Filled Map
  • ArcGIS Maps
  • Shape Map

Thus, we can say that using a power map is very easy and it’s fully supported by the Power BI team. It also provides various map themes for presentation and very perfect to get basic and general usage.

g) Power Query

Power BI Query is the platform that allows various users to connect & access the data stored in different sources. Moreover, it allows them to design it for their various business requirements. Besides, the Power Query also offers custom connectors to other users to use and create various data connectors.

The features of power query include- connecting to databases, fetching data, setting up filters/conditions, merging and modifying data, and reshape and publishing data, etc. Moreover, the PQ also offers a powerful data import experience to its users. It works with Analysis Services, BI workbooks and sheets, and MS Excel. It helps to filter data and integrate it gathered from different data sources. Further, it uses “M” functional language for all operations. This is similar to the F# that includes several commands to alter data and return specific results in the output. These results would be for the requests made to the Excel table or Power BI data model.

Moreover, there is an “advanced editor” available to view the process of developing tables or to build self-shaping code.

How Power BI can be a game-changer for business?

The Power BI integrates various central BI strategies with cloud data sources and other tools using its data management gateway. Due to SaaS solutions, the whole functionality of Power BI architecture is packaged. This makes it easy to apply and use by various businesses. The major features that Power BI offer that can change the game of business are as follows;-

End-users

The end-users always need that they can access and evaluate readily available information for a long time. Here, the Q&A section of Power BI architecture helps in query solving via natural language. And the powerful data visualization engine encourages users to use data for decision-making.

Power BI analyst

Analysts are the power users of BI having the capacity of Power Pivot to build effective data models. This makes it useful to deal with big data models. All this provides end-to-end support in all cases.

||{"title":"Master in Power BI", "subTitle":"Power BI Certification Training by ITGURU's", "btnTitle":"View Details","url":"https://onlineitguru.com/power-bi-training.html","boxType":"reg"}||

Even IT people and data managers also use Power BI services to provide better data presentation. Thus, Power BI finally becomes the solution for advanced BI as simple and easy to use for the search engine also.

Conclusion

The above details explain Power BI architecture and its working covering different aspects. Power BI is a powerful business intelligence suite that includes various components. Moreover, these are useful to gather data and convert it into meaningful insights to prepare attractive reports and dashboards. Using Power BI many business people get successful outcomes for their business data.

To utilize the intelligence techniques and tools practically one can opt for Power BI Online Training from the industry experts like IT Guru. This learning may help to enhance skills in Power BI and also help to plan a great career in this field.