Learning Data

Topics › Analytics engineering › In the weeds of data crafting

What makes it the same one: identity is a decision, written down

Aisha arrives under three keys, and another Aisha looks just like her. Profile the sources with a query behind every claim, qualify each key, match by rules most trusted first, let a person decide what rules can't, and hash every key the same way everywhere.

4½ min4 labs8 scenariosPause and thinkEnglish captions

Builds on Start from a question

Watch the film

Press Play, or pick a chapter. Turn on Pause and think to stop for one question at the end of chapters.

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See it in the project

Every card in the film shows a real file from the example dbt project. Open the ones each chapter shows, on GitHub, or run the whole project yourself.

Think it through

The four Pause and think questions, for a class or a team. Open one to see the answer.

In the series: In the weeds of data crafting

Film 3 of 10.

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Start from a question

A model has no edge until a question gives it one. Model only what the question touches, and name who owns each meaning first.

5 min · 4 labs · 8 scenarios · In the weeds of data crafting

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One row of what, and when

Twelve on census day, nine today: both right. Say what one row is and which day it describes, before any SQL, and test both.

5 min · 4 labs · 8 scenarios · In the weeds of data crafting

  1. 1Declare it, then build it
  2. 2Start from a question
  3. 3What makes it the same one
  4. 4One row of what, and when
  5. 5Promises and proofs
  6. 6Built in layers
  7. 7Who owns what
  8. 8An agent on the team
  9. 9Written once
  10. 10End to end