[03/Tennsift/06]

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

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

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

<p>Agile Approach to Data Vault Modelling = Methodology for quickly putting a 'valid' model into production and refining it over time Finding the 'best' model = A time-consuming effort for teams, often leading to prolonged discussions without certainty Refactoring over time = Continuously improving the data model based on pain points and challenges Valid model into production = Putting a functional model into operation before extensive refinement</p> Signup and view all the answers

<p>Agile Approach to Data Vault Modelling = Advocates for rapid deployment of a 'valid' model and ongoing improvements based on experience Pain is big enough = Indicating the necessity for change in the data model due to significant challenges or difficulties Better model discussions = Prolonged deliberations within teams on achieving an improved data model without immediate validation Data Vault Modelling = Methodology for structuring and managing data in a data warehouse environment</p> Signup and view all the answers

<p>Teams often discuss 'a better' model for weeks = Signifying the potential for prolonged and inconclusive deliberations on improving the data model Putting a 'valid' model into production = Advocating for the deployment of a functional model followed by iterative refinements based on real-world usage Refactoring over time = Emphasizing the continuous improvement and adaptation of the data model based on practical experience and challenges Finding the 'best' model is a lot of effort = Implying the significant time and resources required for the pursuit of an ideal data model</p> Signup and view all the answers

<p>The process of improving the design of an existing database without changing its semantics</p> Signup and view all the answers

<p>To improve performance</p> Signup and view all the answers

<p>It is easier to maintain and update</p> Signup and view all the answers

<p>Reducing the risk of spending excessive time discussing a 'better' model</p> Signup and view all the answers

<p>Reducing the risk of security vulnerabilities</p> Signup and view all the answers

<p>To make it more scalable and faster</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>False</p> Signup and view all the answers

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

<p>To improve performance = A well-designed database can perform much faster than a poorly-designed database. To improve maintainability = A well-designed database is easier to maintain and update than a poorly-designed database. To improve security = A well-designed database is more secure than a poorly-designed database. To improve scalability = Refactoring your database can improve its performance and make it more scalable.</p> Signup and view all the answers

<p>Easier to add new features and fix bugs = Refactoring your database makes it easier to add new features and fix bugs. Improved performance and scalability = Refactoring your database can improve its performance and make it more scalable. Reduced risk of security vulnerabilities = Refactoring your database can reduce the risk of security vulnerabilities. Easier to understand, maintain, and extend = The refactored database should be easier to understand, maintain, and extend.</p> Signup and view all the answers

<p>Perform much faster than poorly-designed databases = A well-designed database can perform much faster than a poorly-designed database. Easier to maintain and update = A well-designed database is easier to maintain and update than a poorly-designed database. More secure than poorly-designed databases = A well-designed database is more secure than a poorly-designed database. More scalable than poorly-designed databases = A well-designed database is more scalable than a poorly-designed database.</p> Signup and view all the answers

<p>To improve performance = Refactoring your database can improve its performance and make it more scalable. To improve maintainability = Refactoring your database makes it easier to add new features and fix bugs. To improve security = Refactoring your database can reduce the risk of security vulnerabilities. To improve scalability = Refactoring your database can improve its performance and make it more scalable.</p> Signup and view all the answers

<p>A well-designed database can perform much faster than a poorly-designed database. = To improve performance A well-designed database is easier to maintain and update than a poorly-designed database. = To improve maintainability A well-designed database is more secure than a poorly-designed database. = To improve security Refactoring your database can improve its performance and make it more scalable. = To improve scalability</p> Signup and view all the answers

<p>Refactoring your database can improve its performance and make it more scalable. = Improved performance and scalability Refactoring your database makes it easier to add new features and fix bugs. = Easier to add new features and fix bugs Refactoring your database can reduce the risk of security vulnerabilities. = Reduced risk of security vulnerabilities The refactored database should be easier to understand, maintain, and extend. = Easier to understand, maintain, and extend</p> Signup and view all the answers