[01/Chu/01]

Start with a subset of source tables and add tables over time

Absorb the changes to source structures

Start with a subset of source tables

False

False

True

Start with a subset of source tables = Initial step in Agile Data Modelling Data Vault Add tables over time = Approach to extend Agile Data Modelling Data Vault models Absorb changes to source structures = Recommended way to handle changes in Agile Data Modelling Data Vault Full set of source tables = Not the recommended starting point in Agile Data Modelling Data Vault

Data Vault models = Can be extended over time in Agile Data Modelling Source structures = Changes to these are absorbed in Agile Data Modelling Data Vault Extension = Adding tables over time in Agile Data Modelling Data Vault Subset = Initial step in Agile Data Modelling Data Vault, not the full set of tables

Start with a subset of source tables = Initial action in Agile Data Modelling Data Vault Add tables over time = Action to extend Agile Data Modelling Data Vault models Absorb changes to source structures = Action to handle changes in Agile Data Modelling Data Vault Full set of source tables = Not the starting action in Agile Data Modelling Data Vault

Big Design Up Front (BDUF) = An approach that involves creating a comprehensive data model before any development work begins Iterative Development = A process where the data model is developed and refined in response to changing requirements and feedback Stakeholders = Individuals or groups who have an interest in or are affected by the data model Reduced Rework = A benefit of agile data modeling that helps to minimize the need for making changes to the data model

Increased Agility = An advantage of agile data modeling that allows organizations to respond more quickly to changing requirements Improved Quality = A benefit of agile data modeling that helps to ensure that the data model meets the needs of all users Increased Collaboration = A positive outcome of agile data modeling, as it is a collaborative process involving stakeholders from across the organization Greater Adaptability = A characteristic of agile data modeling that allows it to be used to respond to changing requirements

Agile Data Modeling = An approach that emphasizes iterative development, collaboration, and adaptability Big Design Up Front (BDUF) = An approach that involves creating a comprehensive data model before any development work begins Iterative Development = A process where the data model is developed and refined in response to changing requirements and feedback Collaborative Process = An aspect of agile data modeling that involves stakeholders from across the organization

Adaptability = The ability of agile data modeling to respond to changing requirements Rapidly Changing World = The context in which businesses need to be able to adapt quickly to new opportunities and challenges Data Model = A representation of the data structures and relationships in a business or organization Risk of Rework = The potential for having to make significant changes to the data model due to evolving requirements

The data model is developed and refined iteratively = Agile Data Modeling A comprehensive data model is created before any development work begins = Big Design Up Front (BDUF) The approach involves collaboration and adaptability = Agile Data Modeling The data model is less likely to be aligned with the needs of the business = Big Design Up Front (BDUF)

Big Design Up Front (BDUF) = An approach that involves creating a comprehensive data model before any development work begins Iterative Development = A process where the data model is developed and refined in response to changing requirements and feedback Stakeholders = Individuals or groups who have an interest in or are affected by the data model Reduced Rework = A benefit of agile data modeling that helps to minimize the need for making changes to the data model

Increased Agility = An advantage of agile data modeling that allows organizations to respond more quickly to changing requirements Improved Quality = A benefit of agile data modeling that helps to ensure that the data model meets the needs of all users Increased Collaboration = A positive outcome of agile data modeling, as it is a collaborative process involving stakeholders from across the organization Greater Adaptability = A characteristic of agile data modeling that allows it to be used to respond to changing requirements

Agile Data Modeling = An approach that emphasizes iterative development, collaboration, and adaptability Big Design Up Front (BDUF) = An approach that involves creating a comprehensive data model before any development work begins Iterative Development = A process where the data model is developed and refined in response to changing requirements and feedback Collaborative Process = An aspect of agile data modeling that involves stakeholders from across the organization

Adaptability = The ability of agile data modeling to respond to changing requirements Rapidly Changing World = The context in which businesses need to be able to adapt quickly to new opportunities and challenges Data Model = A representation of the data structures and relationships in a business or organization Risk of Rework = The potential for having to make significant changes to the data model due to evolving requirements

The data model is developed and refined iteratively = Agile Data Modeling A comprehensive data model is created before any development work begins = Big Design Up Front (BDUF) The approach involves collaboration and adaptability = Agile Data Modeling The data model is less likely to be aligned with the needs of the business = Big Design Up Front (BDUF)

Focus on business process rather than reports = Design the data model to meet the needs of the business, not just the needs of reporting Avoid data dependency = Prevent the creation of data dependencies between different systems to make the data more reusable and adaptable Collaborative modeling engages stakeholders = Involve stakeholders from across the organization to ensure the data model meets the needs of all users Just Enough Design Up Front (JEDUF) = Approach that involves doing only enough design upfront to get started and refining it iteratively as more information becomes available

Automated Testing and CI = Support agile methods by ensuring the data model is always valid and changes do not break existing functionality JEDUF = Just Enough Design Up Front - approach used in Agile data modeling where only enough design is done upfront to get started Collaborative modeling = Agile data modeling process that involves stakeholders from across the organization Data dependency = Situation where data is created in a way that it is dependent on other data

Focus on business process = Agile data modeling principle that ensures the data model is designed to meet the needs of the business Avoid data dependency = Agile data modeling principle that makes the data more reusable and adaptable Collaborative modeling engages stakeholders = Agile data modeling principle that involves stakeholders from across the organization Just Enough Design Up Front (JEDUF) = Agile data modeling principle that involves doing only enough design upfront to get started and refining it iteratively

Automated Testing and CI = Supporting methods that ensure the data model is always valid and changes do not break existing functionality JEDUF = An approach used in Agile data modeling that only does enough design upfront to get started Collaborative modeling = An Agile data modeling process that involves stakeholders from across the organization Data dependency = A situation that Agile data modeling avoids by not creating dependencies between different systems

Focus on business process rather than reports = Agile data modeling principle that ensures the data model is designed for the business, not just reporting Avoid data dependency = Agile data modeling principle that makes the data more reusable and adaptable by avoiding dependencies between systems Collaborative modeling engages stakeholders = Agile data modeling principle that involves stakeholders to meet the needs of all users Just Enough Design Up Front (JEDUF) = Agile data modeling principle that does enough design upfront to get started and refines it iteratively

Automated Testing and CI = Supports agile methods by ensuring the data model is always valid and changes do not break existing functionality JEDUF = Approach in Agile data modeling that does only enough design upfront to get started Collaborative modeling = An Agile data modeling process that involves stakeholders from across the organization Data dependency = A situation that Agile data modeling avoids by not creating dependencies between different systems

Focus on business process rather than reports = Agile data modeling principle that ensures the data model is designed to meet the needs of the business Avoid data dependency = Agile data modeling principle that makes the data more reusable and adaptable Collaborative modeling engages stakeholders = Agile data modeling principle that involves stakeholders from across the organization Just Enough Design Up Front (JEDUF) = Agile data modeling principle that involves doing only enough design upfront to get started and refining it iteratively

Automated Testing and CI = Supporting methods that ensure the data model is always valid and changes do not break existing functionality JEDUF = An approach used in Agile data modeling that only does enough design upfront to get started Collaborative modeling = An Agile data modeling process that involves stakeholders from across the organization Data dependency = A situation that Agile data modeling avoids by not creating dependencies between different systems

Focus on business process rather than reports = Agile data modeling principle that ensures the data model is designed for the business, not just reporting Avoid data dependency = Agile data modeling principle that makes the data more reusable and adaptable by avoiding dependencies between systems Collaborative modeling engages stakeholders = Agile data modeling principle that involves stakeholders to meet the needs of all users Just Enough Design Up Front (JEDUF) = Agile data modeling principle that does enough design upfront to get started and refines it iteratively

Automated Testing and CI = Supports agile methods by ensuring the data model is always valid and changes do not break existing functionality JEDUF = Approach in Agile data modeling that does only enough design upfront to get started Collaborative modeling = An Agile data modeling process that involves stakeholders from across the organization Data dependency = A situation that Agile data modeling avoids by not creating dependencies between different systems

Iterative development

Agile data modeling involves collaboration, while the traditional approach involves big design up front

It involves stakeholders from across the organization

All of the above

To respond to changing requirements

Add tables to the data model

Greater adaptability

To identify and resolve conflicts

Agile data modeling involves development work before creating a data model, while the traditional approach involves creating a data model before any development work

It involves stakeholders from across the organization

Focus on business process rather than reports

It makes the data model more reusable and adaptable

Just Enough Design Up Front (JEDUF)

It ensures that the data model meets the needs of all users

Automated Testing and Continuous Integration (CI)

Understanding the business processes that the data supports

Refine the design iteratively as more information becomes available

Agile data modeling focuses on business processes, while traditional data modeling focuses on reports

It ensures that the data model is always valid and functional

It engages stakeholders from across the organization

True

False

True

True

True

True

False

False

False

False

True

False

True

True

True

False

True

True

False

False