Скачать или смотреть Power BI Query Editor | Step-by-Step Guide to Data Transformation & Preparation 🚀| 1stepGrow Academy

Want to clean, shape, and transform data before building reports*? *Power BI Query Editor (Power Query) is the key to preparing your data efficiently, ensuring it is structured, formatted, and optimized for analysis. Whether you're working with *Excel, SQL Server, APIs, SharePoint, or cloud sources*, Power Query allows you to automate data transformations without complex coding.

In this detailed tutorial, we’ll cover *everything you need to know about Power BI Query Editor*—from importing data to applying advanced transformations for seamless reporting.

🔍 What You'll Learn in This Video:

✅ What is Power BI Query Editor? – Understanding its role in data transformation
✅ Why Use Power Query? – Benefits of cleaning and structuring data before visualization

🔹 How to Access Power Query in Power BI:
Opening Power Query Editor in Power BI Desktop
Connecting to multiple data sources (Excel, SQL, APIs, Web, SharePoint, etc.)
Understanding the Query Pane, Applied Steps, and Formula Bar

🔹 Essential Data Transformations in Power Query:
Removing Duplicates & Blanks – Cleaning messy data
Changing Data Types – Ensuring correct formatting for calculations
Splitting & Merging Columns – Organizing data efficiently
Filtering & Sorting Data – Extracting relevant information

🔹 Advanced Data Transformations:
Pivot & Unpivot Columns – Reshaping datasets for better analysis
Appending Queries (Union Data) – Merging data from multiple sources
Merging Queries (Joining Tables) – Creating relationships between datasets
Conditional Columns – Automating logic-based transformations

✅ How to Use M Language for Custom Data Transformations:
Understanding M Code Basics for advanced scripting
Editing & optimizing Query Steps manually
Using Parameters & Functions for dynamic data queries

🔹 Optimizing Data for Performance:
Reducing unnecessary columns & rows for faster processing
Enabling Query Folding to improve database performance
Using Incremental Refresh to handle large datasets

✅ Best Practices for Using Power BI Query Editor:
Keeping queries organized & well-documented
Avoiding unnecessary transformations that slow down performance
Creating Reusable Query Functions for automation
Testing transformations before loading data into Power BI

💡 By the end of this video, you’ll master Power BI Query Editor, enabling you to clean, structure, and optimize your data effortlessly for better reporting!

🔔 Like, Share & Subscribe for more Power BI tutorials!

#PowerBI #PowerQuery #DataTransformation #BusinessIntelligence #DataModeling #PowerBITutorial #QueryEditor #DataPreparation
---------------------------------------------------------------------------------------------------------------------------
Learn more at: https://www.1stepgrow.com/

For more information about 1stepGrow courses, visit:
Website: https://www.1stepgrow.com/
LinkedIn:   / 1stepgrow  
Application: https://play.google.com/store/apps/de...
Instagram:   / 1stepgrow_academy  
Facebook:   / 1stepgrow  
Twitter:   / 1stepgrow  

To enroll in courses, book a counselling session and & talk to our expert: https://calendly.com/1step-grow/one-o...