Learning Data

Topics › Analytics engineering › In the weeds of data crafting

Make the call

Eight situations an analytics engineer really faces: a mart copied from another team, a peek at a private step, a private table someone can read, two ways to hash an email, five projects on day one, a public column renamed in place, a team moving out, and a new version arriving. Decide what you'd do; each answer explains why. Your answers stay in this browser.

Scenarios

In the series: In the weeds of data crafting

Film 7 of 10.

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Built in layers

Four layers turn the tests green. Each layer has one job; each CTE, one step; and the rule is written once.

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

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An agent on the team

An AI agent drafts in minutes. It follows rules written in the project, shows the query behind every claim, never weakens a test, and people approve.

5½ 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