Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics
Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs.
When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital. Multi-tenant analytics is NOT the primary use case with traditional data warehouses, causing data security challenges.
Data security requires custom-developed middleware in the form of metatable tables, user access controls, and a semantic layer that orchestrates data security. This is time-consuming to maintain and adds complexity as you scale.
In this guide, we share top considerations for an effective and cost-efficient data warehouse design for your multi-tenant app with data security in mind.
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