What is Microsoft Power Query?

Power Query offers an intuitive approach for connecting to, extracting, transforming, and loading data from various origins. Functioning as a powerful engine for data manipulation, it boasts a graphical interface that makes the data retrieval process straightforward, alongside a Power Query Editor for applying any necessary modifications. Its adaptability allows for integration across a wide array of products and services, with the data storage location being dictated by the particular application of Power Query. This tool streamlines the extract, transform, and load (ETL) processes, catering to users' diverse data requirements. With Microsoft's Data Connectivity and Data Preparation technology, accessing and managing data from hundreds of sources is made simple in a user-friendly, no-code framework. Power Query supports a wide range of data sources through built-in connectors, generic interfaces such as REST APIs, ODBC, OLE, DB, and OData, and it even provides a Power Query SDK for developing custom connectors to meet specific needs. This level of flexibility enhances Power Query's value, making it an essential resource for data professionals aiming to optimize their workflows and improve efficiency. As such, it empowers users to focus on deriving insights from their data rather than getting bogged down by the complexities of data handling.

Integrations

Offers API?:
Yes, Microsoft Power Query provides an API

Screenshots and Video

Microsoft Power Query Screenshot 1

Company Facts

Company Name:
Microsoft
Date Founded:
1975
Company Location:
United States
Company Website:
powerquery.microsoft.com/en-us/

Product Details

Deployment
SaaS
Windows
Mac
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Microsoft Power Query Categories and Features

ETL Software

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Data Preparation Software

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface