The request
“Create a data platform architecture with CRM and ERP data, product events, a data lake, quality checks, an analytics warehouse, BI dashboards, ML models, and a data catalog.”
Then tryAdd a streaming ingestion service before the data lake.Change the analytics warehouse to a lakehouse.
What is in this drawing
Read the decisions behind it.
01Source coverage
Include business systems and product events.
02Landing zone
Collect raw data in a lake.
03Quality control
Check data before it supports decisions.
04Consumption
Serve dashboards and models from curated data.
Use it for a high-level data platform proposal or discovery workshop.
More like this
Other examples in this family.
FAQ
Common questions
What is a data platform architecture?
It is a view of the systems that collect, store, govern and serve an organization's data.
What is the role of a data lake?
A data lake provides a central landing and storage layer for data from many source systems.
Why include data quality checks?
They make validation visible before data is used in reports or models.