How to achieve Multitenancy for shared data warehouse containing multi-tenant data?
Understanding Multitenancy in Shared Data Warehouses
Multitenancy is a fundamental technology that allows a single instance of a software application to serve multiple tenants. In the context of data warehousing, multitenancy refers to the architecture where a single instance of a data warehouse serves multiple tenants, each with its own isolated set of data.
What is a Shared Data Warehouse?
A shared data warehouse is a large, centralized repository of data that is used to support a wide range of business intelligence activities. It is designed to hold data from multiple sources and make it available for analysis and reporting. The data in a shared data warehouse can be accessed and used by multiple users or tenants, each with their own specific needs and requirements.
How Does Multitenancy Work in a Shared Data Warehouse?
In a multitenant shared data warehouse, each tenant’s data is isolated and remains invisible to other tenants. Even though the data warehouse is shared, each tenant uses their own instance of the application, with their own data, and does not have access to other tenants’ data.
This is achieved by using a multitenant architecture, where each tenant’s data is stored in a separate schema or database. The application logic is designed to ensure that each tenant can only access their own data.
Benefits of Multitenancy in Shared Data Warehouses
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Cost Efficiency: Multitenancy allows for a reduction in IT costs as a single instance of a software application serves multiple tenants. This eliminates the need for separate hardware and software resources for each tenant.
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Scalability: Multitenancy allows for easy scalability. As the number of tenants increases, the resources can be easily scaled up to meet the demand.
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Maintenance and Upgrades: With a multitenant architecture, maintenance, and upgrades can be done once and applied to all tenants. This reduces the time and effort required for these tasks.
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Data Security: Despite the shared nature of the data warehouse, each tenant’s data is isolated and secure. This ensures that sensitive data is not accessible to unauthorized users.
Conclusion
To achieve Data level multi-tenancy, we have several options. We can utilize a user-based filter, isolation code, or dynamic connection string. If all the data is stored in the same database and you want to apply a filter for a specific tenant based on their unique ID, you can choose either User Based Filter or isolation code.
- To learn more about user-based filters refer to the documentation link
- To learn more about isolation code refer to the documentation link
If the data is stored in different databases, you can use the Dynamic connection string to switch the connection string for different tenants. To learn more about the dynamic connection string.
- To learn more about dynamic connection strings refer to the documentation user-specific data using dynamic connection string and change dashboard data connection
Multitenancy in shared data warehouses provides a cost-effective, scalable, and secure solution for managing large amounts of data. By allowing multiple tenants to share a single instance of a data warehouse, businesses can leverage the benefits of a shared infrastructure while maintaining the security and privacy of their data.
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