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Cloud computing for customer data platforms

How to use cloud warehouses and streaming alongside a CDP, with guidance on cost, latency, ownership and data contracts.

Quick answer

Use the cloud to hold deep history and analytics in a warehouse or lakehouse, stream the events that need low latency, and send a focused subset to your CDP for activation. Agree data contracts and monitor cost so volume does not outgrow value.

A simple split

  • Warehouse or lakehouse: history, modelling, ML features.
  • Streaming layer: events that must act in near real time.
  • CDP: profile data needed for audiences and journeys.

Decide with four questions

  • How fresh must the data be?
  • Who owns the source and the schema?
  • What does it cost to move and store?
  • Which privacy constraints apply?

Operate it

Add data tests, pipeline alerts, cost dashboards and a documented rollback for schema changes.

Frequently asked questions

Which cloud should we choose?

Usually the one your organisation already operates well. Fit with skills, security and data location matters most.

Should all data go to the CDP?

No. Send what your use cases need and keep the rest in the warehouse.

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