Multi-Cloud Analytics Strategy

Now we enter platform sovereignty.

Common setup:

• GCP → BigQuery

• AWS → S3 + Snowflake or EMR

• Azure → Synapse / ADLS

? Why Multi-Cloud Happens

• M&A

• Regulatory region restrictions

• Vendor leverage strategy

• Business unit autonomy

? Three Patterns

1️⃣ Federated Model

Each cloud runs its own warehouse.

Cross-cloud reporting via:

• Replicated aggregates

• API layer

• BI tool federation

Best for regulatory isolation.

2️⃣ Centralized Analytics Cloud

All raw data replicated to one primary cloud.

Pros:

• Simpler

• Lower complexity

Cons:

• Cross-cloud egress costs

• Political friction

3️⃣ Mesh Architecture (Modern Pattern)

Each domain:

• Owns its storage

• Publishes curated data products

• Uses open table formats

Shared metadata layer connects everything.

This is closest to Data Mesh.

? Hard Truth

Cross-cloud joins at 50PB scale are financially suicidal.

Move aggregates, not raw data.