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Understanding Data Sources Print

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Where data comes from.

WHAT THE COMMON SOURCES ARE

Application databases Event streams from applications Third-party service interfaces Files delivered on a schedule Manual uploads Log files Sensor and device data

WHAT EACH BRINGS

  • Databases: structured, but coupled to the application's model
  • Interfaces: structured, but rate limited and subject to change
  • Files: simple, but inconsistent
  • Manual uploads: unavoidable, and always problematic

WHY MANUAL UPLOADS ARE PROBLEMATIC

Formats change, columns move, values are typed by hand.

WHAT TO DO ABOUT THEM

Validate strictly, and reject clearly rather than accepting bad data.

WHAT TO ESTABLISH FOR EVERY SOURCE

Who owns it How it changes, and whether you are told What its update frequency is What its quality is actually like Whether it can be re-read

WHY THAT LAST POINT MATTERS

Sources you cannot re-read must be captured reliably the first time.

WHAT TO NEVER ASSUME

That a source will keep its current structure.

WHAT TO BUILD FOR

Change, detected rather than discovered downstream.


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