Global Distribution Best Practices¶

Comparative positioning note

This document is written from the perspective of Microsoft Azure, Cloud Scale Analytics, and CSA Loom. Any description of third-party or competing products, services, pricing, or capabilities is derived from publicly available documentation and sources believed accurate at the time of writing, and is provided for general comparison only. We do not claim expertise in, or authority over, any non-Microsoft product or service; the respective vendor's official documentation is the authoritative source for their offerings, which may change over time. Nothing here is intended to disparage any vendor — where a competing product has genuine advantages, we aim to note them honestly. Verify all third-party details against the vendor's current official documentation before making decisions.

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Best practices for globally distributed analytics deployments.

Multi-Region Architecture¶

flowchart TB
    subgraph "Primary Region (East US)"
        P1[Synapse Workspace]
        P2[Data Lake]
        P3[Event Hubs]
    end

    subgraph "Secondary Region (West US)"
        S1[Synapse Workspace]
        S2[Data Lake]
        S3[Event Hubs]
    end

    subgraph "Global"
        TM[Traffic Manager]
        Purview[Azure Purview]
    end

    TM --> P1
    TM --> S1
    P2 <--> |GRS| S2
    Purview --> P1
    Purview --> S1

Key Considerations¶

Data Residency¶

Region	Regulations	Storage
EU	GDPR	EU-only storage
US	HIPAA, SOC2	US regions
APAC	Local laws	Regional storage

Replication Strategies¶

# Configure GRS for Data Lake
az storage account create \
    --name datalakeprimary \
    --resource-group rg-analytics \
    --location eastus \
    --sku Standard_RAGRS \
    --kind StorageV2 \
    --hierarchical-namespace true

# Enable failover
az storage account failover \
    --name datalakeprimary \
    --resource-group rg-analytics \
    --failover-type planned

Disaster Recovery¶

Component	RPO	RTO	Strategy
Data Lake	15 min	1 hour	GRS replication
Synapse Workspace	24 hours	4 hours	ARM template redeploy
Dedicated SQL Pool	8 hours	2 hours	Geo-backup restore
Spark Pools	N/A	30 min	Recreate from templates

Implementation¶

Cross-Region Query¶

-- Query across regions using linked servers
SELECT
    p.Region,
    p.ProductCategory,
    SUM(p.Revenue) AS TotalRevenue
FROM PrimaryRegion.Sales p
UNION ALL
SELECT
    s.Region,
    s.ProductCategory,
    SUM(s.Revenue)
FROM SecondaryRegion.Sales s
GROUP BY Region, ProductCategory;

Global Data Catalog¶

# Register multi-region assets in Purview
from azure.purview.catalog import PurviewCatalogClient

def register_global_asset(asset_name, regions):
    """Register asset across multiple regions."""

    for region in regions:
        entity = {
            "typeName": "azure_datalake_gen2_path",
            "attributes": {
                "name": asset_name,
                "qualifiedName": f"adls://{region}-storage/{asset_name}",
                "region": region
            }
        }
        client.entity.create_or_update({"entity": entity})

Network Architecture
Disaster Recovery

Last Updated: January 2025