📋 Selective Data Output: The project operator refines query results by selecting specific columns to display.
🔧 Column Transformation: Allows creating new columns on the fly, such as converting values (e.g., megabytes to gigabytes).
⚙️ Improved Clarity: Simplifies complex data for better analysis by reducing irrelevant columns.
MustLearnKQL Table of Contents: https://aka.ms/MustLearnKQL
Get the Ebook: https://cda.ms/3mT
KQL Best Practices: https://cda.ms/3s1
Must Learn KQL Part 14: The Project Operator
https://cda.ms/3G6
Must Learn KQL Part 13: The Extend Operator
https://cda.ms/3Dz
Must Learn KQL Part 12: The Render Operator (with Bin and Time)
https://cda.ms/3B9
Must Learn KQL Part 11: The Summarize Operator
https://cda.ms/3yf
Must Learn KQL Part 10: The Count Operator
https://cda.ms/3sM
Must Learn KQL Part 9: The Limit/Take Operators
https://cda.ms/3s7
Must Learn KQL Part 8: The Where Operator
https://cda.ms/3qj
Must Learn KQL Part 7: Schema Talk
https://cda.ms/3pm
Must Learn KQL Part 6: Interface Intimacy
https://cda.ms/3mc
Must Learn KQL Part 5: Turn Search into Workflow Posted November 29, 2021
https://cda.ms/3jm
Must Learn KQL Part 4: Search for Fun and Profit Posted November 22, 2021
https://cda.ms/3gH
Must Learn KQL Part 3: Workflow
https://cda.ms/3fQ
Must Learn KQL Part 2: Just Above Sea Level
https://cda.ms/3fD
Must Learn KQL Part 1: Tools and Resources
https://cda.ms/3fC
Website: https://www.cyberautomate.io
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LinkedIn: / david-hall10
Github: https://github.com/cyberautomate
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