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What is Power Query? - Power Query | Microsoft Learn

Learn about Power Query and its capabilities for data acquisition and transformation Power Query is a powerful data preparation tool that enables you to: - Extract data from various sources - Transform and clean data efficiently - Combine data from multiple sources Key benefits of Power Query: 1. User-friendly interface for data manipulation 2. Supports a wide range of data sources 3. Automates repetitive data tasks 4. Enhances data quality and consistency 5. Integrates seamlessly with other Microsoft tools Power Query helps streamline your data processes, saving time and improving accuracy in data analysis.
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What is Power Query? - Power Query | Microsoft Learn
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Introduction

Power Query is a powerful data transformation and preparation engine developed by Microsoft. It provides a user-friendly graphical interface for connecting to various data sources, applying transformations, and loading the processed data into different destinations. Power Query simplifies the extract, transform, and load (ETL) process, making it accessible to both novice users and experienced data professionals.

Feature

Connectivity and Data Sources

  • Connects to a wide range of data sources
  • Supports Microsoft Azure Data Lake Storage, Dataverse, Excel, and Power BI
  • Offers consistent experience across different data sources

Power Query Editor

  • Interactive and intuitive interface for building queries
  • Provides hundreds of prebuilt transformation functions
  • Enables creation of repeatable data preparation processes
  • Handles data of any size, velocity, and variety

Transformation Capabilities

  • Simple transformations: Remove columns, filter rows
  • Common transformations: Use first row as header
  • Advanced transformations: Merge, append, group by, pivot, unpivot
  • Automatically generates M code for transformations

Power Query Experiences

  • Power Query Online: Available in Power BI dataflows, Microsoft Power Platform dataflows, Azure Data Factory
  • Power Query for Desktop: Found in Excel and Power BI Desktop

Dataflows

  • Product-agnostic cloud version of Power Query
  • Stores transformed data in Dataverse or Azure Data Lake Storage
  • Enables use of transformed data across multiple products and services

Power Query M Formula Language

  • Underlying scripting language for advanced transformations
  • Accessible through the Advanced Editor
  • Allows fine-tuning of functions and transformations

Availability in Microsoft Products

ProductM enginePower Query DesktopPower Query OnlineDataflows
Excel for WindowsYesYesNoNo
Excel for MacYesYesNoNo
Power BIYesYesYesYes
Power AppsYesNoYesYes
Power AutomateYesNoYesNo
Azure Data FactoryYesNoYesYes
SQL Server Integration ServicesYesNoNoNo
Dynamics 365 Customer InsightsYesNoYesYes

FAQ

Do I need to know how to code to use Power Query?

No, the graphical interface allows you to perform most transformations without coding. However, knowledge of M language can be helpful for advanced scenarios.

Can Power Query handle large datasets?

Yes, Power Query is designed to work with data of any size and offers options to filter and transform data to manageable sizes.

Is Power Query available in all versions of Excel?

Power Query is available in Excel for Windows and Mac, but features may vary between versions.

Can I share my Power Query transformations with others?

Yes, you can share queries in various ways depending on the product you're using. For example, in Power BI, you can share dataflows.

How often are new features added to Power Query?

Microsoft regularly updates Power Query with new features and improvements. Check the official documentation or release notes for the latest updates.

Latest Traffic Insights

  • Monthly Visits

    34.93 K

  • Bounce Rate

    31.91%

  • Pages Per Visit

    3.05

  • Time on Site(s)

    220.24

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    3.66%
  • Paid Referrals:
    1.57%
  • Email:
    0.19%
  • Referrals:
    14.12%
  • Search Engines:
    35.34%
  • Direct:
    43.23%
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