# rod-trent/MustLearnKQL

Code included as part of the MustLearnKQL blog series

Repository: https://github.com/rod-trent/MustLearnKQL
Canonical: https://ross.abutalabs.com/products/mustlearnkql
License: MIT
License Family: permissive
Last push: 2026-01-30T15:51:48+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 65, release rhythm 35, longevity 100
- inputs: {"age_days": 1748, "days_push": 215, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1188, forks 201 (observed 2026-08-28T04:03:55.342718+00:00)

## What it is
A learning resource containing code, sample queries, and an eBook for the Must Learn KQL blog series, which teaches the Kusto Query Language. It accompanies a book, video channel, workshop, and app, all aimed at educating users about KQL.

## Use cases
- learn kusto query language from scratch
- find sample kql queries for log analytics
- get a free kql ebook
- follow a structured kql tutorial series
- practice kql for microsoft sentinel
- learn kql for azure data explorer

## When to choose
- you are a beginner wanting to learn KQL step by step
- you want free, regularly updated KQL learning material with sample queries
- you prefer learning via blog series, videos, and an accompanying eBook

## When to avoid
- you need production KQL tooling or an IDE rather than learning material
- you already know KQL and only need advanced reference documentation
- you are looking for a query engine or database product itself

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, developer-tools, security
- platform: cross-platform
- tags: kql, kusto-query-language, ebook, blog-series, azure-data-explorer, microsoft-sentinel

## Member repositories
- rod-trent/MustLearnKQL (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:55.342718+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:23:37.238144+00:00, confidence not recorded.
  - readme: https://github.com/rod-trent/MustLearnKQL (fetched 2026-08-28T04:03:55.342718+00:00, sha 51e3004b0521)
- Data as of 2026-08-30T08:39:29.467469+00:00.