THE DATA SCIENCE INTERVIEW BOOK
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  • About
  • Log
  • Mathematical Motivation
  • STATISTICS
    • Probability Basics
    • Probability Distribution
    • Central Limit Theorem
    • Bayesian vs Frequentist Reasoning
    • Hypothesis Testing
    • ⚠️A/B test
  • MODEL BUILDING
    • Overview
    • Data
      • Scaling
      • Missing Value
      • Outlier
      • ⚠️Sampling
      • Categorical Variable
    • Hyperparameter Optimization
  • Algorithms
    • Overview
    • Bias/Variance Tradeoff
    • Regression
    • Generative vs Discriminative Models
    • Classification
    • ⚠️Clustering
    • Tree based approaches
    • Time Series Analysis
    • Anomaly Detection
    • Big O
  • NEURAL NETWORK
    • Neural Network
    • ⚠️Recurrent Neural Network
  • NLP
    • Lexical Processing
    • Syntactic Processing
    • Transformers
  • BUSINESS INTELLIGENCE
    • ⚠️Power BI
      • Charts
      • Problems
    • Visualization
  • PYTHON
    • Theoretical
    • Basics
    • Data Manipulation
    • Statistics
    • NLP
    • Algorithms from scratch
      • Linear Regression
      • Logistic Regression
    • PySpark
  • ML OPS
    • Overview
    • GIT
    • Feature Store
  • SQL
    • Basics
    • Joins
    • Temporary Datasets
    • Windows Functions
    • Time
    • Functions & Stored Proc
    • Index
    • Performance Tuning
    • Problems
  • ⚠️EXCEL
    • Excel Basics
    • Data Manipulation
    • Time and Date
    • Python in Excel
  • MACHINE LEARNING FRAMEWORKS
    • PyCaret
    • ⚠️Tensorflow
  • ANALYTICAL THINKING
    • Business Scenarios
    • ⚠️Industry Application
    • Behavioral/Management
  • Generative AI
    • Vector Database
    • LLMs
  • CHEAT SHEETS
    • NumPy
    • Pandas
    • Pyspark
    • SQL
    • Statistics
    • RegEx
    • Git
    • Power BI
    • Python Basics
    • Keras
    • R Basics
  • POLICIES
    • PRIVACY NOTICE
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  1. BUSINESS INTELLIGENCE

Power BI

Overview of Power BI and its core components.

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Last updated 1 year ago

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Power BI is a technology-driven business intelligence tool provided by Microsoft for analyzing and visualizing raw data to present actionable information. It combines business analytics, data visualization, and best practices that help an organization to make data-driven decisions. In February 2019, confirmed Microsoft as Leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform" as a result of the capabilities of the Power BI platform.

Components of Power BI

  1. Power Query

    Power Query is the data transformation and mash up the engine. It enables you to discover, connect, combine, and refine data sources to meet your analysis need. It can be downloaded as an add-in for Excel or can be used as part of the Power BI Desktop.

  2. Power Pivot

    Power Pivot is a data modeling technique that lets you create data models, establish relationships, and create calculations. It uses Data Analysis Expression (DAX) language to model simple and complex data.

  3. Power View

    Power View is a technology that is available in Excel, Sharepoint, SQL Server, and Power BI. It lets you create interactive charts, graphs, maps, and other visuals that bring your data to life. It can connect to data sources and filter data for each data visualization element or the entire report.

  4. Power Map

    Microsoft's Power Map for Excel and Power BI is a 3-D data visualization tool that lets you map your data and plot more than a million rows of data visually on Bing maps in 3-D format from an Excel table or Data Model in Excel. Power Map works with Bing maps to get the best visualization based on latitude, longitude, or country, state, city, and street address information.

  5. Power BI Desktop

    Power BI Desktop is a development tool for Power Query, Power Pivot, and Power View. With Power BI Desktop, you have everything under the same solution, and it is easier to develop BI and data analysis experience.

  6. Power Q&A

    The Q&A feature in Power BI lets you explore your data in your own words. It is the fastest way to get an answer from your data using natural language.

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