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Markdown commit for test smarter blog Lierheimer/Kumalah #6414

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@faithebear faithebear commented Nov 4, 2024

Nov 2024

What are you changing in this pull request and why?

This blog is part of a training team Q3 initiative to bring training field experience to the developer blog. See notion task for more detail.

Checklist

  • I have reviewed the Content style guide so my content adheres to these guidelines.
  • The topic I'm writing about is for specific dbt version(s) and I have versioned it according to the version a whole page and/or version a block of content guidelines.
  • I have added checklist item(s) to this list for anything anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch."
  • The content in this PR requires a dbt release note, so I added one to the release notes page.

@faithebear faithebear requested a review from a team as a code owner November 4, 2024 19:13
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welcome bot commented Nov 4, 2024

Hello!👋 Thanks for contributing to the dbt product documentation and opening this pull request! ✨
We use Markdown and some HTML to write the dbt product documentation. When writing content, you can use our style guide and content types to understand our writing standards and how we organize information in the dbt product docs.
We'll review your contribution and respond as soon as we can. 😄

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@github-actions github-actions bot added the developer blog This content fits on the developer blog. label Nov 4, 2024
@runleonarun runleonarun added the new contributor Label for first-time contributors label Nov 4, 2024
@github-actions github-actions bot added the size: medium This change will take up to a week to address label Nov 4, 2024
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@joellabes joellabes left a comment

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this rocks so hard. I'll be in DX offsite the next couple of days, but am happy for someone on @dbt-labs/product-docs to dismiss this review/approve once the last bits are mopped up!

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Comment on lines 76 to 78
- *Granularity:* primary keys are unique and not null. Duplicates throw off calculations!
- *Completeness:* columns that should always contain text, *do.* Incomplete data is less useful!
- *Formatting:* email addresses always have a valid domain. Incorrect emails may affect marketing outreach!
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The examples here are good, I'm not convinced they need to end in !s. I also wonder if there's anything better than "less useful" for completeness?

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changed this in a fresh commit & expanded a bit on incomplete data usually needing to get thrown out & reducing overall analytical power


*Stats-focused anomalies* are fluctuations that go against your expected volumes or metrics. Some examples include:

- Volume anomalies. This could be site traffic amounts that may indicate illicit behavior, or perhaps site traffic dropping one day then doubling the next, indicating that data were not loaded properly.
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Today was the day I discovered you're a "data is plural" person.

I have no comment on this. (It's fine, you can leave it)

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clarified this a bit but i am a "data might be singular or plural depending on context" kind of person xD

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faithebear and others added 3 commits November 5, 2024 09:09
Co-authored-by: Joel Labes <[email protected]>
Co-authored-by: Joel Labes <[email protected]>
Co-authored-by: Joel Labes <[email protected]>
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3 participants