📊 Aggregating Data: Demonstrates using the summarize operator to group data and perform calculations such as count, min, max, and averages.
💡 Advanced Functions: Covers advanced aggregation like arg_min and arg_max to find the earliest or latest records.
⚙️ Practical Applications: Examples include analyzing successful and failed logins by user and computer, and comparing results across timeframes.
🔢 Combining Metrics: Shows using countif to create columns for comparing multiple conditions in a single query.
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 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
https://cda.ms/3jm
Must Learn KQL Part 4: Search for Fun and Profit
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
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