[04/Vienne/04]

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>Raw Data Vault = Integrated, versionized data model with raw (meta) data Business Vault = Implements business logic, transformation rules Information mart = Provides information to be used in internal dashboards and reports Interface marts = Provides data to be used by Flow.BI’s components</p> Signup and view all the answers

<p>Layers Stage area = Direct copy of the incoming metadata Raw Data Vault = Integrated, versionized data model with raw (meta) data Business Vault = Implements business logic, transformation rules Information mart = Provides information to be used in internal dashboards and reports</p> Signup and view all the answers

<p>Business Vault = Implements business logic, transformation rules Information mart = Provides information to be used in internal dashboards and reports Raw Data Vault = Integrated, versionized data model with raw (meta) data Interface marts = Provides data to be used by Flow.BI’s components</p> Signup and view all the answers

<p>Improved performance</p> Signup and view all the answers

<p>Different layers can be scaled independently</p> Signup and view all the answers

<p>The different layers can be developed, maintained, and updated independently</p> Signup and view all the answers

<p>By designing and developing layers using common patterns and components</p> Signup and view all the answers

<p>Easier to maintain than a single-layered system</p> Signup and view all the answers

<p>By isolating different layers of data</p> Signup and view all the answers

<p>Systems dealing with large and complex data sets</p> Signup and view all the answers

<p>Overall performance of the system</p> Signup and view all the answers

<p>Due to its modularity from different independent layers</p> Signup and view all the answers

<p>Different layers can be developed, maintained, and updated independently</p> Signup and view all the answers

<p>By promoting code reuse through common patterns and components</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>Improved performance = By dividing the data warehouse into multiple layers, the system can distribute the workload more effectively. Scalability = A multi-layered data warehouse is easier to scale than a single-layered system. Modularity = A multi-layered data warehouse is more modular than a single-layered system. Reusability = A multi-layered data warehouse can promote code reuse.</p> Signup and view all the answers

<p>Maintainability = A multi-layered data warehouse is easier to maintain than a single-layered system. Security = A multi-layered data warehouse can improve security by isolating different layers of data. Flexibility = A multi-layered data warehouse is more flexible than a single-layered system. Cost reduction = A multi-layered data warehouse can help to reduce development time and costs.</p> Signup and view all the answers

<p>Improved performance = Can help to improve the overall performance of the system, especially when dealing with large and complex data sets. Scalability = Can help to accommodate increasing data volumes and processing demands. Modularity = Can make the system more flexible and easier to adapt to changing requirements. Reusability = Can help to reduce development time and costs.</p> Signup and view all the answers