profile

Start Data Engineering

3 Design Decisions for Maintainable Incremental Pipelines


Hello Reader,

Incremental pipelines are notoriously difficult to get right. When they fail, they often require painful manual intervention.

But with the right design decisions, they’ll just chug along.

Read the 3 design decisions →

You’ll learn:

  1. How your source’s timestamp columns dictate extract design
  2. Load patterns depending on the type of output (fact, dimension, etc.)
  3. Scaling strategies for backfilling

Was this helpful? If yes, share it with a colleague who is designing incremental pipelines 🔗

Best,

Joseph

Start Data Engineering

Over the last decade, I've built highly scalable distributed data platforms and helped companies scale to processing multiple exabytes of data. My mission is to bring software practices followed by top tech companies to data engineering and help data engineers level up. I help data engineers land high paying tech jobs and significantly up skill themselves.

Share this page