- Blog Categories
- Project Management
- Agile Management
- IT Service Management
- Cloud Computing
- Business Management
- Business Intelligence
- Quality Engineer
- Cyber Security
- Career
- Big Data
- Programming
- Most Popular Blogs
- PMP Exam Schedule for 2024: Check PMP Exam Date
- Top 60+ PMP Exam Questions and Answers for 2024
- PMP Cheat Sheet and PMP Formulas To Use in 2024
- What is PMP Process? A Complete List of 49 Processes of PMP
- Top 15+ Project Management Case Studies with Examples 2024
- Top Picks by Authors
- Top 170 Project Management Research Topics
- What is Effective Communication: Definition
- How to Create a Project Plan in Excel in 2024?
- PMP Certification Exam Eligibility in 2024 [A Complete Checklist]
- PMP Certification Fees - All Aspects of PMP Certification Fee
- Most Popular Blogs
- CSM vs PSM: Which Certification to Choose in 2024?
- How Much Does Scrum Master Certification Cost in 2024?
- CSPO vs PSPO Certification: What to Choose in 2024?
- 8 Best Scrum Master Certifications to Pursue in 2024
- Safe Agilist Exam: A Complete Study Guide 2024
- Top Picks by Authors
- SAFe vs Agile: Difference Between Scaled Agile and Agile
- Top 21 Scrum Best Practices for Efficient Agile Workflow
- 30 User Story Examples and Templates to Use in 2024
- State of Agile: Things You Need to Know
- Top 24 Career Benefits of a Certifed Scrum Master
- Most Popular Blogs
- ITIL Certification Cost in 2024 [Exam Fee & Other Expenses]
- Top 17 Required Skills for System Administrator in 2024
- How Effective Is Itil Certification for a Job Switch?
- IT Service Management (ITSM) Role and Responsibilities
- Top 25 Service Based Companies in India in 2024
- Top Picks by Authors
- What is Escalation Matrix & How Does It Work? [Types, Process]
- ITIL Service Operation: Phases, Functions, Best Practices
- 10 Best Facility Management Software in 2024
- What is Service Request Management in ITIL? Example, Steps, Tips
- An Introduction To ITIL® Exam
- Most Popular Blogs
- A Complete AWS Cheat Sheet: Important Topics Covered
- Top AWS Solution Architect Projects in 2024
- 15 Best Azure Certifications 2024: Which one to Choose?
- Top 22 Cloud Computing Project Ideas in 2024 [Source Code]
- How to Become an Azure Data Engineer? 2024 Roadmap
- Top Picks by Authors
- Top 40 IoT Project Ideas and Topics in 2024 [Source Code]
- The Future of AWS: Top Trends & Predictions in 2024
- AWS Solutions Architect vs AWS Developer [Key Differences]
- Top 20 Azure Data Engineering Projects in 2024 [Source Code]
- 25 Best Cloud Computing Tools in 2024
- Most Popular Blogs
- Company Analysis Report: Examples, Templates, Components
- 400 Trending Business Management Research Topics
- Business Analysis Body of Knowledge (BABOK): Guide
- ECBA Certification: Is it Worth it?
- How to Become Business Analyst in 2024? Step-by-Step
- Top Picks by Authors
- Top 20 Business Analytics Project in 2024 [With Source Code]
- ECBA Certification Cost Across Countries
- Top 9 Free Business Requirements Document (BRD) Templates
- Business Analyst Job Description in 2024 [Key Responsibility]
- Business Analysis Framework: Elements, Process, Techniques
- Most Popular Blogs
- Best Career options after BA [2024]
- Top Career Options after BCom to Know in 2024
- Top 10 Power Bi Books of 2024 [Beginners to Experienced]
- Power BI Skills in Demand: How to Stand Out in the Job Market
- Top 15 Power BI Project Ideas
- Top Picks by Authors
- 10 Limitations of Power BI: You Must Know in 2024
- Top 45 Career Options After BBA in 2024 [With Salary]
- Top Power BI Dashboard Templates of 2024
- What is Power BI Used For - Practical Applications Of Power BI
- SSRS Vs Power BI - What are the Key Differences?
- Most Popular Blogs
- Data Collection Plan For Six Sigma: How to Create One?
- Quality Engineer Resume for 2024 [Examples + Tips]
- 20 Best Quality Management Certifications That Pay Well in 2024
- Six Sigma in Operations Management [A Brief Introduction]
- Top Picks by Authors
- Six Sigma Green Belt vs PMP: What's the Difference
- Quality Management: Definition, Importance, Components
- Adding Green Belt Certifications to Your Resume
- Six Sigma Green Belt in Healthcare: Concepts, Benefits and Examples
- Most Popular Blogs
- Latest CISSP Exam Dumps of 2024 [Free CISSP Dumps]
- CISSP vs Security+ Certifications: Which is Best in 2024?
- Best CISSP Study Guides for 2024 + CISSP Study Plan
- How to Become an Ethical Hacker in 2024?
- Top Picks by Authors
- CISSP vs Master's Degree: Which One to Choose in 2024?
- CISSP Endorsement Process: Requirements & Example
- OSCP vs CISSP | Top Cybersecurity Certifications
- How to Pass the CISSP Exam on Your 1st Attempt in 2024?
- Most Popular Blogs
- Best Career options after BA [2024]
- Top Picks by Authors
- Top Career Options & Courses After 12th Commerce in 2024
- Recommended Blogs
- 30 Best Answers for Your 'Reason for Job Change' in 2024
- Recommended Blogs
- Time Management Skills: How it Affects your Career
- Most Popular Blogs
- Top 28 Big Data Companies to Know in 2024
- Top Picks by Authors
- Top Big Data Tools You Need to Know in 2024
- Most Popular Blogs
- Web Development Using PHP And MySQL
- Top Picks by Authors
- Top 30 Software Engineering Projects in 2024 [Source Code]
- More
- Agile & PMP Practice Tests
- Agile Testing
- Agile Scrum Practice Exam
- CAPM Practice Test
- PRINCE2 Foundation Exam
- PMP Practice Exam
- Cloud Related Practice Test
- Azure Infrastructure Solutions
- AWS Solutions Architect
- AWS Developer Associate
- IT Related Pratice Test
- ITIL Practice Test
- Devops Practice Test
- TOGAF® Practice Test
- Other Practice Test
- Oracle Primavera P6 V8
- MS Project Practice Test
- Project Management & Agile
- Project Management Interview Questions
- Release Train Engineer Interview Questions
- Agile Coach Interview Questions
- Scrum Interview Questions
- IT Project Manager Interview Questions
- Cloud & Data
- Azure Databricks Interview Questions
- AWS architect Interview Questions
- Cloud Computing Interview Questions
- AWS Interview Questions
- Kubernetes Interview Questions
- Web Development
- CSS3 Free Course with Certificates
- Basics of Spring Core and MVC
- Javascript Free Course with Certificate
- React Free Course with Certificate
- Node JS Free Certification Course
- Data Science
- Python Machine Learning Course
- Python for Data Science Free Course
- NLP Free Course with Certificate
- Data Analysis Using SQL
Power BI Architecture Explained with Components and Clusters
Updated on 23 August, 2019
102 views
Table of Contents
Power BI has become one of the essential tools for decision-making. It is utilized to manage every aspect of a business, such as supply chain management, human resources, client relations, financial transactions, sales, market analysis, manufacturing procedures, and more. Power BI is a business intelligence and data visualization application that transforms information from many data sources into dynamic, interactive dashboards and reports. Power BI Desktop, Power BI service based on SaaS, and mobile Power BI apps accessible for various platforms are all part of the Power BI package, which offers a variety of products, connectors, and services. Business customers utilize this group of services to gather data and create BI reports.
An Overview of PowerBI
Power BI is a business intelligence and visualization application that transforms information from many data sources into interactive dashboards and reports. Power BI Desktop, Power BI service based on SaaS, and mobile Power BI apps accessible for various platforms are all part of the Power BI package, which offers a variety of products, connectors, and services. Business customers utilize this group of services to gather data and create BI reports. Reports are made using the Power BI desktop program, published using the Power BI Services (Software as a Service - SaaS), and viewed using the Power BI mobile app.
Power BI is an excellent business intelligence software that effectively drives the business. Power BI is reliable and built for the enterprise, making it suitable for bespoke development, in-depth modeling, and real-time analytics. As a result, it may be a tool for creating personal reports and visualizations and the analytics and decision-making center for teams, departments, or even whole businesses.
Learning about Power BI architecture and its components will greatly help scale and optimize the reports creation or data visualizations on the dataset process. In this article, you will learn about Power BI Architecture which will help you understand its components. So, let’s start with this first question what is Power BI?
Anyone trying to build a power BI developer career should join these excellent certification courses like Business Intelligence and Visualization for beginners to understand the workings of Power BI and its architecture which will help you get high-paying jobs as a Power BI developer.
What is PowerBI
Microsoft offers the business analytics software Power BI, which enables you to share insights and display your data. Microsoft Power BI is a suite of software services, applications, and connections that combine to transform your various sources of data into unified, engaging visuals and interactive insights. Power BI makes it simple to connect to your data sources, view (or discover) what's essential, and share that with anyone or whomever you want, whether your data is a straightforward Microsoft Excel worksheet or a combination of cloud-based and on-premises hybrid data warehouses.
Some of the capabilities of Power BI:
- Interactive Desktop
- Customized Data Visualization or Reports
- Visibility or Presentation
- Robust data Security
- Data Accessibility
- Easy Implementation
What is PowerBI Architecture
The business suite Power BI consists of many interconnected technologies. Microsoft Power BI technology is made up of a variety of parts, including the following, to create superior business intelligence solutions:
- Power Query (for data mash-up and transformation)
- Power BI Desktop (a companion development tool)
- Power BI Mobile (for Android, iOS, and Windows phones)
- Power Pivot (for in-memory tabular data modeling)
- Power View (for viewing data visualizations)
- Power Map (for visualizing 3D geo-spatial data)
- Power Q&A (for natural language Q&A)
In plain English, a Power BI user obtains information from various data sources, including files, Azure sources, web services, DirectQuery, and gateway sources. Afterward, they use a client development tool like Power BI Desktop to deal with the data. The imported data is cleaned and modified per the user's requirements.
The data is prepared for usage in report visualizations once it has been transformed and formatted. An assortment of visualizations, including graphs, charts, tables, filters, and slicers, make up a report.
The reports you create on Power BI desktop are published on two platforms: Power BI Service and Power BI Report Server.
Unlike Power BI Report Server, which is an on-premises platform protected by a firewall, Power BI Service is a cloud-based public platform.
Using the visuals from your published reports as a starting point, you can build dashboards on these platforms. Finally, leverage distribution methods like a web browser, Power BI on iPad, tablets, laptops, phones, etc., to collaborate and share your dashboards and reports with other users inside or outside your organization.
Components of Power BI Architecture
Let's take a closer look at the Power BI architecture's components. There is a total of Ten components explained below.
1. Data Sources
Power BI's extensive selection of data sources is a key feature. You can connect directly to live connections, import data from files on your computer, or use cloud-based online data sources. There is a 1 GB limit on the amount of data you can import from on-premises or internet sources. In Power BI, a few of the frequently utilized data sources are:
- Excel
- Text/CSV
- XML
- JSON
- Oracle Database
- IBM DB2 Database
- MySQL Database
- PostgreSQL Database
- Teradata Database
- SAP Business Warehouse server
- Amazon Redshift
- Google BigQuery (Beta)
- Azure SQL Database
- Salesforce Reports
- Google Analytics
- GitHub
2. Power BI Desktop
You can connect, convert, and view your data on your local desktop using Power BI Desktop, a free software. It has many features and capabilities for connecting to data sources, transforming data, modeling data, and producing reports. Power BI Desktop is available for free download and installation on your computer. One can perform data purification, establish business metrics and data models, specify hierarchies, generate graphics, and publish reports.
3. Power BI Service
Power BI Service is a web-based platform where you can collaborate with other users, share reports created in Power BI Desktop, and create dashboards.
It is available in three versions:
- Free version
- Pro version
- Premium version
The names "Power BI.com," "Power BI Workspace," "Power BI Site," and "Power BI Web Portal" are also used to refer to the Power BI Service. Advanced features like notifications and natural language Q&A are also available in this component.
4. Power BI Report Server
The Power BI Report Server and the Power BI Service are related. The fact that Power BI Report Server is an on-premise product is the only distinction between these two. Organizations that worry about their data's security and do not want to publish their reports in the cloud use it. Thanks to Power BI Report Server, you may build dashboards and share your findings with other users while adhering to the necessary security rules. You must have a Power BI Premium license to access this service.
5. Power BI Gateway
In secured networks, this component is utilized to connect to and access on-premise data. Power BI Gateways are typically used in businesses where data is protected and closely observed. Gateways assist in transferring such data to Power BI solutions for analysis and reporting via secure channels.
6. Power BI Mobile
Power BI Mobile is an iOS, Android, and Windows mobile device native Power BI application. These programs are used to see reports and dashboards.
7. Embedded Power BI
The APIs provided by Power BI Embedded is used to integrate visualizations into unique applications.
8. Power Pivot
This component imports and combines various datasets from various sources to create in-memory data models. Thanks to such integration, functional users can quickly increase the overall value by merging different data sources. The most well-known instance of these integrations is when Power BI is used to examine corporate sales, demographics, and meteorological data.
Additionally, this component offers intricate calculations, key performance indicators, and other metrics that data analysts can utilize to prototype and analyze various business scenarios.
9. Power Query
This function, a game-changer for many analysts, searches for data across various corporate data sources or the internet and then smoothly imports the chosen dataset into an Excel table. This component's native data connectivity functionality makes it possible to retrieve the data more quickly and easily.
Power query performs crucial data adjustments such as renaming columns, changing values, merging data, and more. This element is vital since it makes data shaping and purification simple.
10. Power View
Power View is the preferred component for displaying the data and making it even more dynamic. The data is meant to be cross-filtered and highlighted. It almost seems like using Excel and PowerPoint tools when working with the data in the Power view component.
Power View also offers graphs, tabular data, and charts supporting various maps with zoom and pan features.
Workings of Power BI Architecture
All reports you build in Power BI Desktop are published on the Power BI Service cloud platform.
Users can use client platforms, including websites, mobile devices, etc., to view the reports and dashboards from the Power BI Service. As a result, each client wishing to access content generated by Power BI must engage with the Power BI Service. Therefore, we must examine the inner workings of Power BI Service to understand how it functions.
The architecture of Power BI Service is divided into two sections:
- Front End cluster
- Back End cluster
1. Front End Cluster
Clients and the back end are connected by the front end, commonly known as the web front-end cluster. The front-end services handle the initial connection and Azure Active Directory client authentication. User IDs are kept in the Azure Active Directory. After authentication, user requests are routed through Azure Traffic Manager to the closest data center. The Azure Content Delivery Network (CDN) makes static Power BI content and files available to users when a client or user has been authorized.
2. Back End Cluster
Visualizations, datasets, storage, reports, data connections, data updating, and other Power BI interactions are handled by the Power BI services on the back end. A web client can only directly interface with Azure API Management and Gateway Role on the backend. These two parts are in charge of routing, load balancing, authentication, and authorization.
Anyone trying to build a power BI developer career should join this excellent certification courses like KnowledgeHut Business Intelligence and Visualization for beginners to understand the workings of Power BI and its architecture which will help you get high-paying jobs as a Power BI developer.
Power BI Desktop
Power BI Desktop is free software that enables you to connect to, convert, and visualize your data on your local desktop. With Power BI Desktop, you can connect to various information sources and combine them (commonly referred to as modeling) into a data model that enables you to produce graphics and collections of images that you can share with other people in your organization as records. Most users working on business intelligence projects create their reports using Power BI Desktop, then share those reports with others using Power BI.
Power BI Gateway
Power BI Gateway software is needed to access data in an on-premises network. For the data source, the gateway serves as a gatekeeper. The gateway responds to requests, and access is allowed according to users' authentication needs.
Data from the on-premises source is not transferred through gateways to the client platform. It establishes a direct link between the platform and the on-site data source. The client can directly access data from the customer's location for usage in reports, dashboards, and data analysis. A gateway is utilized to make possible connections between a single or multiple data sources.
There are two types of Power BI Gateway :
- On-premises Data Gateway (Standard Mode)
This mode of on-premises data gateway enables connectivity with several on-premises data sources for more than one user. The data can be used in Microsoft Flow, Power BI, Azure Analysis Services, Azure Logic Apps, and other applications. By establishing this kind of data gateway simply once, you can create direct links to numerous data sources. This data gateway is advised for complicated scenarios where several users must access various data sources.
2. On-premises Data Gateway (Personal Mode) :
Only one user connects to several data sources using the on-premises data. Gateway's person mode. It is advised whenever only one person needs to access the data sources. The user cannot grant other users access to their Power BI account to produce reports and dashboards.
Power BI Mobile Apps
For iOS, Android, and Windows mobile devices, Power BI provides a selection of mobile apps. You may connect to and interact with your on-premises and cloud data through mobile apps.
Power BI Desktop allows you to produce reports. The Power BI report service will enable you to create and examine dashboards and reports. Power BI Report Server is where you may access on-premises Power BI reports. Whether on-premises or in the cloud, all these reports and dashboards are accessible through the Power BI mobile apps; try viewing and engaging with them on your mobile device, whether an Android phone or tablet, a Windows device, or an iOS device (iPad, iPhone, iPod Touch, or Apple Watch).
Power BI Service
The user can get information anytime and anywhere by using these mobile applications. It supports several platforms, including iOS, Windows, Android, and others. Additionally, these tools are helpful for quickly seeing different dashboards and information.
Power BI has created a variety of mobile app layouts for various devices. It provides different designs and services for multiple device types and applications. Each service updates often and is compatible with every device. Customized solutions that offer better engagement and service can be configured for these apps. Many apps are also available for these devices, including iOS, Android, tablets, etc.
Features of Power BI
Three key features make Power BI an excellent data visualization tool:
1. Interactive Power BI desktop
With the help of this interactive Power BI desktop tool, you can easily access the data and create reports. With this robust tool, one doesn't need to be an expert to make a report; it is quick to learn and simple to use. The best part about his application is that you can create reports using it without having any technical skills, and it is free to download.
2. Customized Dashboard Visualization
Due to complex data, the Power Bi tool has a default standard that is occasionally insufficient for companies. In such cases, businesses can efficiently utilize the custom visualization library and create visualizations that meet their requirements.
3. Visibility
Data is at the core of every business, and today's most significant problem for enterprises is combining data with other datasets to provide meaningful information. Well, one efficient approach is to compile numerous datasets and arrange them aesthetically for easier comprehension. With this form, firms can gain a competitive edge over rivals by having a deeper grasp of the data. These were a handful of Power BI's features. Let's go on and examine what enables Power BI to provide insights that can be put to use.
Power BI makes it possible for data analysis to be speedy, flexible, and user-generated. It makes the process of sharing, collaborating, and analyzing data simpler and advances it.
Anyone trying to build a power BI developer career should join this excellent Power BI course to understand the workings of Power BI and its architecture which will help you get high-paying jobs as a Power BI developer.
Elevate your career now with our cutting-edge business management training online. Acquire the essential skills to thrive in today's competitive world. Enroll today!
Conclusion
Our discussion of the Power BI architecture is now complete. Here, we learned about each of the crucial parts of the Power BI architecture and observed how they interact. Additionally, we thoroughly understood the Power BI Service's operation. Power BI is a fantastic and robust business intelligence tool that will be in data visualization for a long time. Power BI has solved five key business issues; It allows you to access the company’s data analytics almost without lag, It reduces the possibility of error by allowing reports to run instantly using only the latest data, and It easily creates visualization reports of the data and provide accurate presentations for your meeting, It allows IT members to publish data catalogs for others to view which makes it easier for you to find the data sets needed to perform an analysis and Power BI solutions that can make your company’s day-to-day activity far more efficient, tech-savvy, and less frustrating for you and your employees
It facilitates the rapid connection of hundreds of data sources, giving the data life through thorough reporting. If you have any concerns about its ability to influence the future of the data-driven world, you should be aware that it already is and won't become obsolete very soon.
Frequently Asked Questions (FAQs)
1. What is BI and BI architecture?
Business intelligence (BI) is a technology-driven data analysis and information delivery that aids managers, employees, and executives make wise business decisions.
A business intelligence architecture (BI Architecture) is a framework for a company's different technologies to run its business intelligence and analytics applications.
2. What are the components of Power BI?
The following are the main components of Power BI:
- Power Query.
- Power Pivot.
- Power View.
- Power BI Desktop.
- Power BI Website.
- Power BI Mobile Apps.
- Power BI Gateway
- Power BI Service
- Power BI Report Server
- Embedded Power BI
3. Is Power BI frontend or backend?
Still today, Power BI is regarded as a front-end data visualization tool.
4. What are the three components of the Power BI desktop?
Power BI Desktop is an integrated development tool for Power Query, Power Pivot, and Power View.