- Blog Categories
- Software Development
- Data Science
- AI/ML
- Marketing
- General
- MBA
- Management
- Legal
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- Software Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Explore Skills
- Management Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
Power BI Architecture: Components, Function, Benefits & Applications
Updated on 23 March, 2023
6.66K+ views
• 10 min read
Table of Contents
What Is A Power BI?
Power BI is a suite of business analytics tools that are used to analyse data and share insights. The dashboards generated through Power BI offer a 360-degree view of the data to the users so that they do not miss out on any useful insight.
Power BI is mostly used by data analysts and business intelligence professionals who create data models before disseminating reports to other employees of the organisation. However, you can still use Power BI to create reports even if you don’t have an analytical background.
Now that you know about Power BI, let us find out about the components and architecture of Power BI in detail.
Power BI Architecture – Components
Let’s read about the different components of Power BI Architecture:
1. Data Sources
Microsoft Power BI can supply data and information from a wide array of sources and extends support to various kinds of files. The information can either be directly imported into Power BI or through a live service link.
To import big information sets, users get two options:
- Power BI Premium
- Azure Analytics Services
Some of the most common data sources are XML, txt/CSV, Excel, JSON, Azure SQL Data Warehouse, SQL Server Analysis Services Database, Power BI service, and many others. To check the complete list of supported data sources, visit here.
2. Power BI Desktop
Power BI Desktop is used to create reports and visualise the data on a given dataset. It is the development tool for Power Query, Power Pivot, and Power View.
3. Power BI Service
Power BI Service is an on-cloud platform that lets you share the reports that you made on the Power BI desktop. You can also use it to collaborate with other users and even create new dashboards. The Power BI Service platform comes in three different versions:
- Free version
- Pro version
- Premium version
It is also known as Power BI Workspace and comes packed with features such as natural language Q&A and alerts.
4. Power BI Report Server
Power BI Report Server is somewhat identical to Power BI Service. The difference is that the Power BI Report Server is an on-premise platform. When an organisation does not want to store reports on the cloud (owing to data security), they go for the Power BI Report Server. If you wish to use this tool, you need to have a Power BI Premium license.
Explore our Popular Data Science Courses
5. Power BI Gateway
The on-site Power BI gateway is used to keep the information updated by linking to your on-site information sources – without you having to move the data. Users can easily query big datasets and take advantage of the current investments. The gateways offer the much-needed flexibility to satisfy an organisation’s needs and requirements.
Read: Power BI Interview Questions
upGrad’s Exclusive Data Science Webinar for you –
How to Build Digital & Data Mindset
6. Power BI Mobile
Did you know you can stay connected to your data from anywhere and anytime with Power BI Mobile apps? Amazing, isn’t it? The Power BI Mobile apps are available for download on Windows, iOS, and Android platform.
7. Power BI Embedded
Power BI embedded is meant for developers who develop applications and wish to use a third-party BI offering to visualise the data. They can embed the dashboards and reports easily into various applications with the help of Power BI Embedded.
Working Of Power BI Architecture
Now, let’s move on to the working of Power BI architecture.
1. On-Premise
As we have read earlier, data can be transferred to Power BI Desktop from various sources. It allows the creation of reports and publishing them on the Power BI Service.
Power BI Publisher also lets users publish your excel workbooks on the Power BI Report Server without any hassle. That means reports can be quickly published in the Power BI Report Server, and later, they can be shared with the end-user.
2. On Cloud
When you wish to publish your data report on-cloud to Power BI service, the Power BI Gateways play a crucial role. They act as a security barrier while transferring the data or report. You can even collect on-cloud data sources via direct connections for Power BI tools.
Top Data Science Skills to Learn
Power BI Service Architecture
When the reports are published on Power BI Service, clients can access them via their mobiles, tablets, desktops, etc.
The Power BI Service Architecture is primarily divided into two segments – Power BI Web Front End Cluster and Power BI Back End Cluster. Let’s find out about each of them in detail:
1. Web Front End Cluster
The Web Front End Cluster plays the role of managing the initial connection between the back-end cluster and the end-user. It uses AAD (Azure Active Directory) to authenticate the client and ensure security. In addition to that, it offers several tokens for connecting clients to the Power BI Service. It also uses ATM (Azure Traffic Manager) to distribute content to the users as per their geographical location.
2. Back End Cluster
The second component of Power BI Service architecture is the Back End Cluster. It is useful for maintaining several reports, storage, data sets, and various other tools that come under the Power BI.
In this cluster, the client has only two mediums for direct interaction with the data:
- Gateway Role.
- Azure API Management.
In addition to that, these components are helpful for other services such as load balancing, authentication, and routing, etc.
Benefits Of Power BI
Here are the top valued competencies of Microsoft Power BI tool:
1. Rich, Personalised Dashboards
The ability to create customised dashboards is probably the most attractive feature of Power BI. Businesses can customise the dashboards as per their needs and requirements. They can even embed the reports in applications to offer a remarkable user experience.
2. No Memory Shortage
You can shift your business intelligence system to a robust cloud environment to eliminate the memory and speed curbs.
Check out: Tableau vs Power BI
3. Advanced Data Services
The Power BI tools can be easily integrated with advanced cloud services such as Cognitive services, Cortana, or Bot framework. It will help deliver results for the verbal data query given using natural language.
4. Easy Implementation
To implement Power BI services, businesses need not invest heavily in IT resources. At times, businesses need not require any engineering service at all. The managers can directly create an API and plug it into the software.
5. Extract Hidden Information
The ‘Insight’ option in Power BI lets the users check the hidden information present in their data. You can even pin the visualisation to your desktop to revisit them in the future. It provides next-level transparency for data analysis in business.
6. Accuracy
Power BI is helping businesses transform data into rich visuals and extract accurate insights for enhanced decision-making.
Top applications of Power BI
1. Visualisation
This is an in-built feature that is very crucial to bring interactiveness into the process. The computers are being written in the coding language but they cannot be comprehended by everyone. The Power BI architecture helps business people to understand the data with its visualisation feature.
2. Server level- Management of Data
The data comes from many sources, and this data eventually reaches the server. The architecture of Power BI helps the users to manage the data at the level of the server itself. This results in having more extensive and holistic information systems.
3. Analytics including internal software
Power BI has the power to merge with the software platform which is used for business management. All of this includes mail management, social media platforms, account software, CRMs, etc. The Power BI gateway architecture allows to the integration of multiple dashboards for data management in order to form integrated data management.
4. Marketing enhancement
A lot of data is generated and used in the process of marketing. But not many businesses are able to make sense of the data and fail miserably. Power BI allows users to generate charts in order to track user behaviour in their online journey.
5. Standards of reporting
Power BI is useful in organising the reports which are received from various sources and departments. A business gets reports from accounts, sales, marketing, finance, operations, and many more. These reports after a point of time could become too much to organise and decipher. The tool of Power BI allows these reports to be presented in the same style and format.
Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
Read our popular Data Science Articles
Wrapping up
With this, we come to the end of the Power BI Architecture. By now, you must have understood the critical components of the Power BI architecture and how they work together to create magic. We also discussed the working of Power BI Service and other useful components.
We hope this information helped you in the best possible way.
Do you wish to learn Power BI and get into data science? Check out upGrad’s IIIT-B & upGrad’s PG Diploma in Data Science, specially curated for working professionals with more than 400 hours of learning and hands-on workshops.
Frequently Asked Questions (FAQs)
1. What are the different components of Power BI Architecture?
The list of Power BI components seems to be never-ending. It offers various features that you need not go anywhere else. Some of these components are as follows: Power BI supports various kinds of files and allows data and file transfer from a wide range of sources. To transfer large data files, the users can either use Power BI premium or Microsoft Azure. Power BI Desktop is a powerful tool that allows you to visualize your data in multiple ways. It offers you different types of charts and graphs like scatter charts and line graphs. Power BI Service is a cloud platform where you can upload your work and share it with your team. It also allows you to create your customized dashboard to collaborate with other users. Power BI Gateway allows you to link your information to the on-site resources without moving your data. This keeps your work updated and you can easily query big datasets.
2. What are BI tools and why are they used?
BI or Business Intelligence tools are software that helps in efficient data analysis by providing various powerful features and options including interactive reports, intuitive dashboards, cloud support, and integration with various applications. There are many popular BI tools out there in the market providing some unique features to help effective analysis of complex data for organizations. With industries generating huge datasets, it becomes highly counterproductive to handle these datasets manually. BI tools come with varied price ranges to suit all types of businesses.
3. What are other popular BI tools?
The following are some of the other popular Business Intelligence tools which you can definitely lookout. Zoho Analytics provides a reporting tool that allows you to create reports and dashboards with a simple drag and drop feature and works well when integrated with Google apps. Google Data Studio allows you to create reports and dashboards for your company by using a set of raw data from multiple sources and also provides a variety of marketing templates. BiG EVAL provides powerful tools to test the quality of the data and manage it. These features have been designed and improved as per the reviews of the customers. BiG EVAL DTA helps in automating the testing of the data.
4. What are the main components of Power BI?
The main components of Power BI are Power query, Power View, Power Map, Power Pivot, and Power Q&A.
5. What are the important features of Power BI reports?
The important features of Power BI reports are Monthly product updates, Extraction of insights from the large database, Dataset analysis in excel, and Beautiful map creations.
6. What does a Power BI architect do?
The Power BI architect helps in developing and implementing data structures for the end users involved in the business. It works as apoint of reason for data handling including database, data warehousing, etc.